2022.3.7 Learning papers

03-01-2022	DeepNet: Scaling Transformers to 1,000 Layers by Hongyu Wang et al
03-01-2022	Generative Adversarial Networks by Gilad Cohen et al
03-01-2022	FastFold: Reducing AlphaFold Training Time from 11 Days to 67 Hours by Shenggan Cheng et al
03-02-2022	Evolving Curricula with Regret-Based Environment Design by Jack Parker-Holder et al
03-01-2022	Learning Robust Real-Time Cultural Transmission without Human Data by Cultural General Intelligence Team et al
03-02-2022	Successful Recovery of an Observed Meteorite Fall Using Drones and Machine Learning by Seamus L. Anderson et al
03-02-2022	Continuous-Time Meta-Learning with Forward Mode Differentiation by Tristan Deleu et al
03-03-2022	Understanding Failure Modes of Self-Supervised Learning by Neha Mukund Kalibhat et al
03-02-2022	TableFormer: Table Structure Understanding with Transformers by Ahmed Nassar et al
03-02-2022	The Optimal Noise in Noise-Contrastive Learning Is Not What You Think by Omar Chehab et al
03-01-2022	Towards Practices for Human-Centered Machine Learning by Stevie Chancellor
03-01-2022	Variational Autoencoders Without the Variation by Gregory A. Daly et al
03-02-2022	HighMMT: Towards Modality and Task Generalization for High-Modality Representation Learning by Paul Pu Liang et al
03-03-2022	Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning by Weixin Liang et al
03-01-2022	HyperPrompt: Prompt-based Task-Conditioning of Transformers by Yun He et al
03-01-2022	Neural Score Matching for High-Dimensional Causal Inference by Oscar Clivio et al
03-01-2022	The quantum low-rank approximation problem by Nic Ezzell et al
03-01-2022	DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction by Masashi Okada et al
03-01-2022	Parameter estimation for WMTI-Watson model of white matter using encoder-decoder recurrent neural network by Yujian Diao et al
03-01-2022	Path sampling of recurrent neural networks by incorporating known physics by Sun-Ting Tsai et al
03-01-2022	Affordance Learning from Play for Sample-Efficient Policy Learning by Jessica Borja-Diaz et al
03-03-2022	QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition by Andy T. Liu et al
03-03-2022	KamNet: An Integrated Spatiotemporal Deep Neural Network for Rare Event Search in KamLAND-Zen by A. Li et al
03-02-2022	Discrete Optimal Transport with Independent Marginals is #P-Hard by Bahar Taşkesen et al
03-02-2022	Neural Galerkin Scheme with Active Learning for High-Dimensional Evolution Equations by Joan Bruna et al
03-03-2022	Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation by KiYoon Yoo et al
03-02-2022	Continual Feature Selection: Spurious Features in Continual Learning by Timothée Lesort
03-02-2022	A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems by Rafael Figueiredo Prudencio et al
03-03-2022	Improving X-ray Diagnostics through Eye-Tracking and XR by Catarina Moreira et al
03-01-2022	Contrasting random and learned features in deep Bayesian linear regression by Jacob A. Zavatone-Veth et al
03-03-2022	The world seems different in a social context: a neural network analysis of human experimental data by Maria Tsfasman et al
03-03-2022	Autoregressive Image Generation using Residual Quantization by Doyup Lee et al
03-01-2022	Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method by Francesco Romor et al
03-02-2022	Hyperspectral Pixel Unmixing with Latent Dirichlet Variational Autoencoder by Kiran Mantripragada et al
03-03-2022	Reconstruction of univariate functions from directional persistence diagrams by Aina Ferrà et al
03-01-2022	On the Generalization of Representations in Reinforcement Learning by Charline Le Lan et al
03-01-2022	DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition by Xinyu Wang et al
03-03-2022	On Practical Reinforcement Learning: Provable Robustness, Scalability, and Statistical Efficiency by Thanh Nguyen-Tang
03-02-2022	Providing Insights for Open-Response Surveys via End-to-End Context-Aware Clustering by Soheil Esmaeilzadeh et al
03-01-2022	TRILLsson: Distilled Universal Paralinguistic Speech Representations by Joel Shor et al
03-01-2022	Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs by Chao Shang et al
03-02-2022	Flow-based density of states for complex actions by Jan M. Pawlowski et al
03-03-2022	Generative Modeling for Low Dimensional Speech Attributes with Neural Spline Flows by Kevin J. Shih et al
03-02-2022	Machine learning models predict calculation outcomes with the transferability necessary for computational catalysis by Chenru Duan et al
03-01-2022	Machine Learning for Particle Flow Reconstruction at CMS by Joosep Pata et al
03-02-2022	SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs by Xiao Liu et al
03-03-2022	Thermodynamics-informed graph neural networks by Quercus Hernández et al
03-02-2022	On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features by Jinxin Zhou et al
03-01-2022	Multi-Task Multi-Scale Learning For Outcome Prediction in 3D PET Images by Amine Amyar et al
03-03-2022	Quantum Reinforcement Learning via Policy Iteration by El Amine Cherrat et al
03-03-2022	ROCT-Net: A new ensemble deep convolutional model with improved spatial resolution learning for detecting common diseases from retinal OCT images by Mohammad Rahimzadeh et al
03-01-2022	Optimal quantum dataset for learning a unitary transformation by Zhan Yu et al
03-02-2022	Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics by Asaf Cassel et al
03-03-2022	Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings by Dongsheng Wang et al
03-03-2022	Early Time-Series Classification Algorithms: An Empirical Comparison by Charilaos Akasiadis et al
03-01-2022	Distributional Reinforcement Learning for Scheduling of (Bio)chemical Production Processes by Max Mowbray et al
03-03-2022	A shallow physics-informed neural network for solving partial differential equations on surfaces by Wei-Fan Hu et al
03-02-2022	UAV-Aided Decentralized Learning over Mesh Networks by Matteo Zecchin et al
03-02-2022	Improving the Diversity of Bootstrapped DQN via Noisy Priors by Li Meng et al
03-04-2022	Sharper Bounds for Proximal Gradient Algorithms with Errors by Anis Hamadouche et al
03-01-2022	Towards a Common Speech Analysis Engine by Hagai Aronowitz et al
03-02-2022	Interactive Visualization of Protein RINs using NetworKit in the Cloud by Eugenio Angriman et al
03-01-2022	Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization by Vilde B. Gjærum et al
03-01-2022	Approximating a deep reinforcement learning docking agent using linear model trees by Vilde B. Gjærum et al
03-01-2022	Differentially private training of residual networks with scale normalisation by Helena Klause et al
03-02-2022	MetaDT: Meta Decision Tree for Interpretable Few-Shot Learning by Baoquan Zhang et al
03-02-2022	PetsGAN: Rethinking Priors for Single Image Generation by Zicheng Zhang et al
03-01-2022	ONBRA: Rigorous Estimation of the Temporal Betweenness Centrality in Temporal Networks by Diego Santoro et al
03-02-2022	Estimating Conditional Average Treatment Effects with Missing Treatment Information by Milan Kuzmanovic et al
03-03-2022	Topological data analysis of truncated contagion maps by Florian Klimm
03-03-2022	T-Cal: An optimal test for the calibration of predictive models by Donghwan Lee et al
03-01-2022	Dual Embodied-Symbolic Concept Representations for Deep Learning by Daniel T. Chang
03-01-2022	Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector by Pedro Costa et al
03-04-2022	Analysis of closed-loop inertial gradient dynamics by Subhransu S. Bhattacharjee et al
03-04-2022	iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform by Takuhiro Kaneko et al
03-03-2022	NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields by Shanyan Guan et al
03-02-2022	Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models by Ze-Feng Gao et al
03-01-2022	How certain are your uncertainties? by Luke Whitbread et al
03-01-2022	A Constrained Optimization Approach to Bilevel Optimization with Multiple Inner Minima by Daouda Sow et al
03-03-2022	Selective Residual M-Net for Real Image Denoising by Chi-Mao Fan et al
03-03-2022	Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction by Dominik J. E. Waibel et al
03-01-2022	Automatic Depression Detection via Learning and Fusing Features from Visual Cues by Yanrong Guo et al
03-01-2022	Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks by Dmitrii Usynin et al
03-01-2022	Private Convex Optimization via Exponential Mechanism by Sivakanth Gopi et al
03-02-2022	Enhancing Adversarial Robustness for Deep Metric Learning by Mo Zhou et al
03-03-2022	Graph Neural Networks for Multimodal Single-Cell Data Integration by Hongzhi Wen et al
03-03-2022	Detecting High-Quality GAN-Generated Face Images using Neural Networks by Ehsan Nowroozi et al
03-03-2022	Reinforcement Learning in Possibly Nonstationary Environments by Mengbing Li et al
03-03-2022	On Learning Contrastive Representations for Learning with Noisy Labels by Li Yi et al
03-01-2022	A Theory of Abstraction in Reinforcement Learning by David Abel
03-02-2022	Pattern Recognition and Event Detection on IoT Data-streams by Christos Karras et al
03-03-2022	Continuous Relaxation For The Multivariate Non-Central Hypergeometric Distribution by Thomas M. Sutter et al
03-01-2022	Topic Analysis for Text with Side Data by Biyi Fang et al
03-03-2022	Accelerated SGD for Non-Strongly-Convex Least Squares by Aditya Varre et al
03-01-2022	Towards IID representation learning and its application on biomedical data by Jiqing Wu et al
03-01-2022	E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models by Mohammad Akbari et al
03-03-2022	Sparse Bayesian Optimization by Sulin Liu et al
03-03-2022	DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations by Yiwei Lyu et al
03-02-2022	Discontinuous Constituency and BERT: A Case Study of Dutch by Konstantinos Kogkalidis et al
03-02-2022	Deep Q-network using reservoir computing with multi-layered readout by Toshitaka Matsuki
03-03-2022	Label-Only Model Inversion Attacks via Boundary Repulsion by Mostafa Kahla et al
03-03-2022	Physics-Data Driven Machine Learning Based Model: A Hybrid Way for Nonlinear, Dynamic, and Open-loop Identification of IPMC Soft Artificial Muscles by Mohsen Annabestani et al
03-02-2022	Learning Conditional Variational Autoencoders with Missing Covariates by Siddharth Ramchandran et al
03-02-2022	Near-Optimal Correlation Clustering with Privacy by Vincent Cohen-Addad et al
03-01-2022	Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization by Ali TehraniJamsaz et al
03-02-2022	Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem by Yong Liang Goh et al
03-03-2022	Bayesian Spillover Graphs for Dynamic Networks by Grace Deng et al
03-03-2022	Local Constraint-Based Causal Discovery under Selection Bias by Philip Versteeg et al
03-03-2022	Ensembles of Vision Transformers as a New Paradigm for Automated Classification in Ecology by S. Kyathanahally et al

03-03-2022	DenseUNets with feedback non-local attention for the segmentation of specular microscopy images of the corneal endothelium with Fuchs dystrophy by Juan P. Vigueras-Guillén et al
03-02-2022	Precise Stock Price Prediction for Optimized Portfolio Design Using an LSTM Model by Jaydip Sen et al
03-01-2022	Adversarially Robust Learning with Tolerance by Hassan Ashtiani et al
03-03-2022	Self-supervised Transparent Liquid Segmentation for Robotic Pouring by Gautham Narayan Narasimhan et al
03-04-2022	The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set Methods by Thomas G. Dietterich et al
03-01-2022	Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detection by Konstantin Kirchheim et al
03-02-2022	Model-agnostic out-of-distribution detection using combined statistical tests by Federico Bergamin et al
03-03-2022	An Efficient Subpopulation-based Membership Inference Attack by Shahbaz Rezaei et al
03-02-2022	ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks by Mohammad Mahdi Dehshibi et al
03-01-2022	Global-Local Regularization Via Distributional Robustness by Hoang Phan et al
03-02-2022	Detecting Chronic Kidney Disease(CKD) at the Initial Stage: A Novel Hybrid Feature-selection Method and Robust Data Preparation Pipeline for Different ML Techniques by Md. Taufiqul Haque Khan Tusar et al
03-01-2022	Causal Structure Learning with Greedy Unconditional Equivalence Search by Alex Markham et al
03-03-2022	Private High-Dimensional Hypothesis Testing by Shyam Narayanan
03-03-2022	Rethinking the role of normalization and residual blocks for spiking neural networks by Shin-ichi Ikegawa et al
03-01-2022	A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation by Zhenyu Yang et al
03-03-2022	Uniform Approximations for Randomized Hadamard Transforms with Applications by Yeshwanth Cherapanamjeri et al
03-04-2022	Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis by Raghavendra Selvan et al
03-03-2022	Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis by Sho Sonoda et al
03-03-2022	Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction by Shuijing Liu et al
03-03-2022	NUQ: A Noise Metric for Diffusion MRI via Uncertainty Discrepancy Quantification by Shreyas Fadnavis et al
03-03-2022	ββ-DARTS: Beta-Decay Regularization for Differentiable Architecture Search by Peng Ye et al
03-03-2022	CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation by Muhammad Zubair Irshad et al
03-03-2022	LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models by Mojan Javaheripi et al
03-01-2022	Stable, accurate and efficient deep neural networks for inverse problems with analysis-sparse models by Maksym Neyra-Nesterenko et al
03-01-2022	Sample Complexity versus Depth: An Information Theoretic Analysis by Hong Jun Jeon et al
03-01-2022	Side-effects of Learning from Low Dimensional Data Embedded in an Euclidean Space by Juncai He et al
03-02-2022	LILE: Look In-Depth before Looking Elsewhere -- A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives by Danial Maleki et al
03-02-2022	Learning Stochastic Parametric Differentiable Predictive Control Policies by Ján Drgoňa et al
03-03-2022	Joint Probability Estimation Using Tensor Decomposition and Dictionaries by Shaan ul Haque et al
03-01-2022	Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders by Mary Touranakou et al
03-02-2022	Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes by Felix Jimenez et al
03-03-2022	Data Augmentation as Feature Manipulation: a story of desert cows and grass cows by Ruoqi Shen et al
03-04-2022	Uncertainty Estimation for Heatmap-based Landmark Localization by Lawrence Schobs et al
03-03-2022	Identification in Tree-shaped Linear Structural Causal Models by Benito van der Zander et al
03-02-2022	A Simple and Universal Rotation Equivariant Point-cloud Network by Ben Finkelshtein et al
03-01-2022	Beyond Ans\atze: Learning Quantum Circuits as Unitary Operators by Bálint Máté et al
03-02-2022	Sampling Random Group Fair Rankings by Sruthi Gorantla et al
03-03-2022	Unfolding-Aided Bootstrapped Phase Retrieval in Optical Imaging by Samuel Pinilla et al
03-02-2022	Label Leakage and Protection from Forward Embedding in Vertical Federated Learning by Jiankai Sun et al
03-03-2022	Weakly Supervised Object Localization as Domain Adaption by Lei Zhu et al
03-02-2022	Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images by Bang You et al
03-03-2022	An Open Challenge for Inductive Link Prediction on Knowledge Graphs by Mikhail Galkin et al
03-03-2022	WPNAS: Neural Architecture Search by jointly using Weight Sharing and Predictor by Ke Lin et al
03-03-2022	Region-of-Interest Based Neural Video Compression by Yura Perugachi-Diaz et al
03-01-2022	Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty by Rel Guzman et al
03-01-2022	PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm by Wentao Zhang et al
03-04-2022	Training language models to follow instructions with human feedback by Long Ouyang et al
03-03-2022	AdaFamily: A family of Adam-like adaptive gradient methods by Hannes Fassold
03-03-2022	Query Processing on Tensor Computation Runtimes by Dong He et al
03-01-2022	Data-efficient learning of object-centric grasp preferences by Yoann Fleytoux et al
03-03-2022	Automated clustering of COVID-19 anti-vaccine discourse on Twitter by Ignacio Ojea Quintana et al
03-03-2022	Fail-Safe Generative Adversarial Imitation Learning by Philipp Geiger et al
03-01-2022	Attention-based Contextual Multi-View Graph Convolutional Networks for Short-term Population Prediction by Yuki Kubota et al
03-02-2022	Conditional Reconstruction for Open-set Semantic Segmentation by Ian Nunes et al
03-03-2022	Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models by Zhibo Wang et al
03-03-2022	Robustness and Adaptation to Hidden Factors of Variation by William Paul et al
03-04-2022	Safety-aware metrics for object detectors in autonomous driving by Andrea Ceccarelli et al
03-01-2022	On genetic programming representations and fitness functions for interpretable dimensionality reduction by Thomas Uriot et al
03-01-2022	E-LMC: Extended Linear Model of Coregionalization for Predictions of Spatial Fields by Shihong Wang et al
03-01-2022	GSC Loss: A Gaussian Score Calibrating Loss for Deep Learning by Qingsong Zhao et al
03-01-2022	Nonlinear Kernel Support Vector Machine with 0-1 Soft Margin Loss by Ju Liu et al
03-01-2022	Graph Normalized-LMP Algorithm for Signal Estimation Under Impulsive Noise by Yi Yan et al
03-03-2022	Why adversarial training can hurt robust accuracy by Jacob Clarysse et al
03-04-2022	Graph clustering with Boltzmann machines by Pierre Miasnikof et al
03-02-2022	Low-Degree Multicalibration by Parikshit Gopalan et al
03-02-2022	3D Common Corruptions and Data Augmentation by Oğuzhan Fatih Kar et al
03-04-2022	Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation by Chengwei Qin et al
03-01-2022	A predictive analytics approach for stroke prediction using machine learning and neural networks by Soumyabrata Dev et al
03-04-2022	The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights by Maxime Gasse et al
03-01-2022	Multi-Objective Latent Space Optimization of Generative Molecular Design Models by A N M Nafiz Abeer et al
03-04-2022	Do Explanations Explain? Model Knows Best by Ashkan Khakzar et al
03-02-2022	Model-free Neural Lyapunov Control for Safe Robot Navigation by Zikang Xiong et al
03-03-2022	FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis by Yawen Wu et al
03-01-2022	A Domain-Theoretic Framework for Robustness Analysis of Neural Networks by Can Zhou et al
03-02-2022	Estimating average causal effects from patient trajectories by Dennis Frauen et al
03-02-2022	Large-scale Optimization of Partial AUC in a Range of False Positive Rates by Yao Yao et al
03-04-2022	MF-Hovernet: An Extension of Hovernet for Colon Nuclei Identification and Counting (CoNiC) Challenge by Vi Thi-Tuong Vo et al
03-01-2022	Runtime Detection of Executional Errors in Robot-Assisted Surgery by Zongyu Li et al
03-02-2022	A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management by Hardik Meisheri et al
03-02-2022	DCT-Former: Efficient Self-Attention with Discrete Cosine Transform by Carmelo Scribano et al
03-02-2022	Are Latent Factor Regression and Sparse Regression Adequate? by Jianqing Fan et al
03-02-2022	Rethinking Pretraining as a Bridge from ANNs to SNNs by Yihan Lin et al
03-02-2022	Continual Learning of Multi-modal Dynamics with External Memory by Abdullah Akgül et al
03-04-2022	Integrating Statistical Uncertainty into Neural Network-Based Speech Enhancement by Huajian Fang et al
03-02-2022	A photonic chip-based machine learning approach for the prediction of molecular properties by Jonathan Wei Zhong Lau et al
03-02-2022	A Quantitative Geometric Approach to Neural Network Smoothness by Zi Wang et al
03-04-2022	GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation by Zheng Lian et al
03-02-2022	The Best of Both Worlds: Reinforcement Learning with Logarithmic Regret and Policy Switches by Grigoris Velegkas et al
03-02-2022	Convolutional neural networks as an alternative to Bayesian retrievals by Francisco Ardevol Martinez et al
03-02-2022	CD-GAN: a robust fusion-based generative adversarial network for unsupervised change detection between heterogeneous images by Jin-Ju Wang et al
03-02-2022	GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation by Sina Sajadmanesh et al
03-02-2022	Learning in Sparse Rewards settings through Quality-Diversity algorithms by Giuseppe Paolo
03-03-2022	An Adaptive Human Driver Model for Realistic Race Car Simulations by Stefan Löckel et al
03-03-2022	Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks by Joshua Melton et al
03-02-2022	iMVS: Improving MVS Networks by Learning Depth Discontinuities by Nail Ibrahimli et al
03-03-2022	Ensemble Methods for Robust Support Vector Machines using Integer Programming by Jannis Kurtz
03-02-2022	Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs by Koby Hayashi et al
03-02-2022	Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming by Cheng-Yu Hsieh et al
03-02-2022	Stable and Semi-stable Sampling Approaches for Continuously Used Samples by Nikita Astrakhantsev et al
03-03-2022	Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning by Soheil Esmaeilzadeh et al
03-03-2022	Adversarial Patterns: Building Robust Android Malware Classifiers by Dipkamal Bhusal et al
03-04-2022	Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection by Yibo Zhou
03-02-2022	Engineering the Neural Automatic Passenger Counter by Nico Jahn et al
03-02-2022	Chained Generalisation Bounds by Eugenio Clerico et al
03-04-2022	Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion by Dongxu Guo et al
03-01-2022	Explainability for identification of vulnerable groups in machine learning models by Inga Strümke et al
03-02-2022	Faking feature importance: A cautionary tale on the use of differentially-private synthetic data by Oscar Giles et al
03-03-2022	Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning by Alex Gu et al
03-02-2022	Discriminating Against Unrealistic Interpolations in Generative Adversarial Networks by Henning Petzka et al
03-02-2022	Beyond GAP screening for Lasso by exploiting new dual cutting half-spaces with supplementary material by Thu-Le Tran et al
03-04-2022	AutoMO-Mixer: An automated multi-objective Mixer model for balanced, safe and robust prediction in medicine by Xi Chen et al
03-03-2022	Learning Incrementally to Segment Multiple Organs in a CT Image by Pengbo Liu et al
03-03-2022	Parallel feature selection based on the trace ratio criterion by Thu Nguyen et al
03-04-2022	Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning by Hongpeng Cao et al
03-03-2022	In the Service of Online Order: Tackling Cyber-Bullying with Machine Learning and Affect Analysis by Michal Ptaszynski et al
03-03-2022	On an application of graph neural networks in population based SHM by G. Tsialiamanis et al
03-03-2022	On generating parametrised structural data using conditional generative adversarial networks by G. Tsialiamanis et al
03-04-2022	Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression by A. Burakhan Koyuncu et al
03-02-2022	The Theoretical Expressiveness of Maxpooling by Kyle Matoba et al
03-03-2022	On partitioning of an SHM problem and parallels with transfer learning by G. Tsialiamanis et al
03-04-2022	Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization by Minghuan Liu et al
03-03-2022	Quantity over Quality: Training an AV Motion Planner with Large Scale Commodity Vision Data by Lukas Platinsky et al
03-01-2022	Keeping Minimal Experience to Achieve Efficient Interpretable Policy Distillation by Xiao Liu et al
03-03-2022	Label-Free Explainability for Unsupervised Models by Jonathan Crabbé et al
03-03-2022	User-Level Membership Inference Attack against Metric Embedding Learning by Guoyao Li et al
03-02-2022	Reliable validation of Reinforcement Learning Benchmarks by Matthias Müller-Brockhausen et al
03-02-2022	On-Device Learning: A Neural Network Based Field-Trainable Edge AI by Hiroki Matsutani et al
03-03-2022	Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores by Nikhil Muralidhar et al
03-04-2022	Mixed Reality Depth Contour Occlusion Using Binocular Similarity Matching and Three-dimensional Contour Optimisation by Naye Ji et al
03-03-2022	Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data by Yiu-ming Cheung et al
03-01-2022	Tricks and Plugins to GBM on Images and Sequences by Biyi Fang et al
03-01-2022	Code Smells in Machine Learning Systems by Jiri Gesi et al
03-04-2022	Rethinking Efficient Lane Detection via Curve Modeling by Zhengyang Feng et al
03-04-2022	Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving by Wei Xiao et al
03-04-2022	Quantum Approximate Optimization Algorithm for Bayesian network structure learning by Vicente P. Soloviev et al
03-02-2022	Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning by Somjit Nath et al
03-01-2022	Faith-Shap: The Faithful Shapley Shapley Interaction Index by Che-Ping Tsai et al
03-04-2022	AutoDIME: Automatic Design of Interesting Multi-Agent Environments by Ingmar Kanitscheider et al

03-02-2022	Adaptive Gradient Methods with Local Guarantees by Zhou Lu et al
03-02-2022	An Analysis of Ensemble Sampling by Chao Qin et al
03-03-2022	Curvature Graph Generative Adversarial Networks by Jianxin Li et al
03-04-2022	R-GCN: The R Could Stand for Random by Vic Degraeve et al
03-02-2022	Supervised Hebbian learning: toward eXplainable AI by Francesco Alemanno et al
03-02-2022	Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data by Zihao Zhou et al
03-02-2022	Canonical foliations of neural networks: application to robustness by Eliot Tron et al
03-02-2022	Hyperparameter optimization of data-driven AI models on HPC systems by Eric Wulff et al
03-02-2022	Predicting the temporal dynamics of turbulent channels through deep learning by Giuseppe Borrelli et al
03-04-2022	Boosting the Performance of Quantum Annealers using Machine Learning by Jure Brence et al
03-04-2022	Behavioural Curves Analysis Using Near-Infrared-Iris Image Sequences by L. Causa et al
03-03-2022	Enhanced physics-constrained deep neural networks for modeling vanadium redox flow battery by QiZhi He et al
03-03-2022	Dynamic Backdoors with Global Average Pooling by Stefanos Koffas et al
03-02-2022	On the application of generative adversarial networks for nonlinear modal analysis by G. Tsialiamanis et al
03-01-2022	PUMA: Performance Unchanged Model Augmentation for Training Data Removal by Ga Wu et al
03-02-2022	Neuro-Symbolic Verification of Deep Neural Networks by Xuan Xie et al
03-04-2022	Improving \textit{Tug-of-War} sketch using Control-Variates method by Rameshwar Pratap et al
03-03-2022	Why Do Machine Learning Practitioners Still Use Manual Tuning? A Qualitative Study by Niklas Hasebrook et al
03-04-2022	On the relevance of language in speaker recognition by Antonio Satue-Villar et al
03-04-2022	Passive and Active Learning of Driver Behavior from Electric Vehicles by Federica Comuni et al
03-03-2022	Semi-supervised Learning using Robust Loss by Wenhui Cui et al
03-03-2022	Differentially Private Label Protection in Split Learning by Xin Yang et al
03-03-2022	Symmetry Structured Convolutional Neural Networks by Kehelwala Dewage Gayan Maduranga et al
03-03-2022	A Characterization of Multiclass Learnability by Nataly Brukhim et al
03-04-2022	Benchmark Evaluation of Counterfactual Algorithms for XAI: From a White Box to a Black Box by Yu-Liang Chou et al
03-03-2022	Neural Graph Matching for Pre-training Graph Neural Networks by Yupeng Hou et al
03-04-2022	Computational Fluid Dynamics and Machine Learning as tools for Optimization of Micromixers geometry by Daniela de Oliveira Maionchi et al
03-03-2022	Distributionally Robust Bayesian Optimization with ϕϕ-divergences by Hisham Husain et al
03-03-2022	Interpretable Latent Variables in Deep State Space Models by Haoxuan Wu et al
03-04-2022	Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms by Milad Sefidgaran et al
03-04-2022	Interpretable Off-Policy Learning via Hyperbox Search by Daniel Tschernutter et al
03-02-2022	Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting by Grzegorz Dudek
03-03-2022	Continual Horizontal Federated Learning for Heterogeneous Data by Junki Mori et al
03-03-2022	Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations by Michael Zhang et al
03-01-2022	Improving Non-native Word-level Pronunciation Scoring with Phone-level Mixup Data Augmentation and Multi-source Information by Kaiqi Fu et al
03-02-2022	MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members by Ismat Jarin et al
03-02-2022	Learning Efficiently Function Approximation for Contextual MDP by Orin Levy et al
03-03-2022	Nonlinear predictive models computation in ADPCM schemes by Marcos Faundez-Zanuy
03-03-2022	Provable and Efficient Continual Representation Learning by Yingcong Li et al
03-04-2022	Neural Simulated Annealing by Alvaro H. C. Correia et al
03-01-2022	CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer by Xianbin Ye et al
03-03-2022	Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification by Yuanhong Chen et al
03-03-2022	Interventions, Where and How? Experimental Design for Causal Models at Scale by Panagiotis Tigas et al
03-02-2022	Practical Recommendations for the Design of Automatic Fault Detection Algorithms Based on Experiments with Field Monitoring Data by Eduardo Abdon Sarquis Filho et al
03-02-2022	Information Gain Propagation: a new way to Graph Active Learning with Soft Labels by Wentao Zhang et al
03-02-2022	Quality or Quantity: Toward a Unified Approach for Multi-organ Segmentation in Body CT by Fakrul Islam Tushar et al
03-03-2022	X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback by Jensen Gao et al
03-02-2022	TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor by Ruochen Jiao et al
03-02-2022	Weightless Neural Networks for Efficient Edge Inference by Zachary Susskind et al
03-04-2022	Learning from Label Proportions by Learning with Label Noise by Jianxin Zhang et al
03-02-2022	L4KDE: Learning for KinoDynamic Tree Expansion by Tin Lai et al
03-03-2022	Anomaly Detection in Big Data by Chandresh Kumar Maurya
03-04-2022	Differentiable Causal Discovery Under Latent Interventions by Gonçalo R. A. Faria et al
03-02-2022	What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors by Christos Matsoukas et al
03-03-2022	Graph Representation Learning Beyond Node and Homophily by You Li et al
03-03-2022	Learning Set Functions Under the Optimal Subset Oracle via Equivariant Variational Inference by Zijing Ou et al
03-04-2022	No More Than 6ft Apart: Robust K-Means via Radius Upper Bounds by Ahmed Imtiaz Humayun et al
03-02-2022	Physics-informed neural network solution of thermo-hydro-mechanical (THM) processes in porous media by Danial Amini et al
03-04-2022	Evaluating Local Model-Agnostic Explanations of Learning to Rank Models with Decision Paths by Amir Hossein Akhavan Rahnama et al
03-03-2022	Robust PACmm: Training Ensemble Models Under Model Misspecification and Outliers by Matteo Zecchin et al
03-01-2022	Transfer Learning of High-Fidelity Opacity Spectra in Autoencoders and Surrogate Models by Michael D. Vander Wal et al
03-02-2022	Hybrid Model-based / Data-driven Graph Transform for Image Coding by Saghar Bagheri et al
03-02-2022	Parallel Spatio-Temporal Attention-Based TCN for Multivariate Time Series Prediction by Fan Jin et al
03-02-2022	Modularity of the ABCD Random Graph Model with Community Structure by Bogumil Kaminski et al
03-03-2022	Second-order Symmetric Non-negative Latent Factor Analysis by Weiling Li et al
03-02-2022	ES-dRNN with Dynamic Attention for Short-Term Load Forecasting by Slawek Smyl et al
03-04-2022	Ontological Learning from Weak Labels by Larry Tang et al
03-02-2022	Understanding microbiome dynamics via interpretable graph representation learning by Kateryna Melnyk et al
03-01-2022	A Brief Overview of Unsupervised Neural Speech Representation Learning by Lasse Borgholt et al
03-03-2022	Compressed Predictive Information Coding by Rui Meng et al
03-03-2022	Zero-shot Domain Adaptation of Heterogeneous Graphs via Knowledge Transfer Networks by Minji Yoon et al
03-02-2022	A density peaks clustering algorithm with sparse search and K-d tree by Yunxiao Shan et al
03-03-2022	On consistency of constrained spectral clustering under representation-aware stochastic block model by Shubham Gupta et al
03-04-2022	Better Supervisory Signals by Observing Learning Paths by Yi Ren et al
03-03-2022	Data-Efficient and Interpretable Tabular Anomaly Detection by Chun-Hao Chang et al
03-02-2022	Linear Stochastic Bandits over a Bit-Constrained Channel by Aritra Mitra et al
03-03-2022	A multi-stream convolutional neural network for classification of progressive MCI in Alzheimers disease using structural MRI images by Mona Ashtari-Majlan et al
03-01-2022	VaiPhy: a Variational Inference Based Algorithm for Phylogeny by Hazal Koptagel et al
03-01-2022	Deep Temporal Interpolation of Radar-based Precipitation by Michiaki Tatsubori et al
03-03-2022	Automatic Detection and Segmentation of Postoperative Cerebellar Damage Based on Normalization by Silu Zhang et al
03-01-2022	Personalized Federated Learning With Structure by Fengwen Chen et al
03-02-2022	Contextual Attention Network: Transformer Meets U-Net by Azad Reza et al
03-01-2022	TANDEM: Learning Joint Exploration and Decision Making with Tactile Sensors by Jingxi Xu et al
03-02-2022	STEADY: Simultaneous State Estimation and Dynamics Learning from Indirect Observations by Jiayi Wei et al
03-04-2022	Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring by Amirhossein Moallemi et al
03-02-2022	Weakly Supervised Correspondence Learning by Zihan Wang et al
03-01-2022	Partial Likelihood Thompson Sampling by Han Wu et al
03-04-2022	Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning by Xuelong Li et al
03-03-2022	Intrinsically-Motivated Reinforcement Learning: A Brief Introduction by Mingqi Yuan
03-03-2022	Comparison of LSTM autoencoder based deep learning enabled Bayesian inference using two time series reconstruction approaches by Saumik Dana