2021.3.1 AI papers

 

02-23-2021

Image Completion via Inference in Deep Generative Models
by William Harvey et al

02-24-2021

Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience
by Nicholas Watters et al

02-23-2021

Teach Me to Explain: A Review of Datasets for Explainable NLP
by Sarah Wiegreffe et al

02-25-2021

A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives
by Nils Rethmeier et al

02-25-2021

Investigating the Limitations of the Transformers with Simple Arithmetic Tasks
by Rodrigo Nogueira et al

02-24-2021

AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation
by Bing Li et al

02-25-2021

QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer
by Robin Lorenz et al

02-23-2021

Artificial Intelligence as an Anti-Corruption Tool (AI-ACT) -- Potentials and Pitfalls for Top-down and Bottom-up Approaches
by Nils Köbis et al

02-25-2021

Do Input Gradients Highlight Discriminative Features?
by Harshay Shah et al

02-25-2021

Visualizing MuZero Models
by Joery A. de Vries et al

02-24-2021

AGENT: A Benchmark for Core Psychological Reasoning
by Tianmin Shu et al

02-23-2021

Data Fusion for Audiovisual Speaker Localization: Extending Dynamic Stream Weights to the Spatial Domain
by Julio Wissing et al

02-23-2021

ROAD: The ROad event Awareness Dataset for Autonomous Driving
by Gurkirt Singh et al

02-23-2021

HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
by Niv Nayman et al

02-23-2021

Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning
by Vinay Kumar Verma et al

02-25-2021

Spanish Biomedical and Clinical Language Embeddings
by Asier Gutiérrez-Fandiño et al

02-23-2021

Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning
by Hongxin Xiang et al

02-23-2021

Weakly-supervised multi-class object localization using only object counts as labels
by Kyle Mills et al

02-24-2021

Perspective: Purposeful Failure in Artificial Life and Artificial Intelligence
by Lana Sinapayen

02-25-2021

Task-Agnostic Morphology Evolution
by Donald J. Hejna et al

02-24-2021

PADA: A Prompt-based Autoregressive Approach for Adaptation to Unseen Domains
by Eyal Ben-David et al

02-25-2021

CausalX: Causal Explanations and Block Multilinear Factor Analysis
by M. Alex O. Vasilescu et al

02-25-2021

LazyFormer: Self Attention with Lazy Update
by Chengxuan Ying et al

02-25-2021

On Interpretability and Similarity in Concept-Based Machine Learning
by Léonard Kwuida et al

02-24-2021

PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning
by Angelos Filos et al

02-23-2021

SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition
by Sourav Garg et al

02-23-2021

PixSet : An Opportunity for 3D Computer Vision to Go Beyond Point Clouds With a Full-Waveform LiDAR Dataset
by Jean-Luc Déziel et al

02-24-2021

Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case
by Sergey Nesteruk et al

02-24-2021

Using Inverse Optimization to Learn Cost Functions in Generalized Nash Games
by Stephanie Allen et al

02-25-2021

A New Neuromorphic Computing Approach for Epileptic Seizure Prediction
by Fengshi Tian et al

02-23-2021

SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology
by Sohini Roychowdhury et al

02-25-2021

AutoPreview: A Framework for Autopilot Behavior Understanding
by Yuan Shen et al

02-25-2021

ConCrete MAP: Learning a Probabilistic Relaxation of Discrete Variables for Soft Estimation with Low Complexity
by Edgar Beck et al

02-25-2021

Blockchained Federated Learning for Threat Defense
by Konstantinos Demertzis

02-24-2021

Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning
by Sheng Li et al

02-24-2021

Train one, Classify one, Teach one -- Cross-surgery transfer learning for surgical step recognition
by Daniel Neimark et al

02-24-2021

LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching
by Boer Lyu et al

02-23-2021

Comparative evaluation of CNN architectures for Image Caption Generation
by Sulabh Katiyar et al

02-23-2021

Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic
by Mingyu Cai et al

02-26-2021

On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
by Baohe Zhang et al

02-23-2021

Adversarial Robustness with Non-uniform Perturbations
by Ecenaz Erdemir et al

02-24-2021

Multi-Task Attentive Residual Networks for Argument Mining
by Andrea Galassi et al

02-23-2021

Decision Rule Elicitation for Domain Adaptation
by Alexander Nikitin et al

02-23-2021

Quantum Entropic Causal Inference
by Mohammad Ali Javidian et al

02-25-2021

Machine Biometrics -- Towards Identifying Machines in a Smart City Environment
by G. K. Sidiropoulos et al

02-23-2021

The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations
by Jeremiah Duncan et al

02-23-2021

Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning
by Isaac J. Sledge et al

02-24-2021

Memory-based Deep Reinforcement Learning for POMDP
by Lingheng Meng et al

02-24-2021

Combining Off and On-Policy Training in Model-Based Reinforcement Learning
by Alexandre Borges et al

02-24-2021

Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration
by Christian Tomani et al

02-25-2021

Understanding Robustness in Teacher-Student Setting: A New Perspective
by Zhuolin Yang et al

02-23-2021

Deep Convolutional Neural Networks with Unitary Weights
by Hao-Yuan Chang et al

02-24-2021

Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments
by Dmitry Ivanov et al

02-23-2021

Arguments for the Unsuitability of Convolutional Neural Networks for Non--Local Tasks
by Sebastian Stabinger et al

02-23-2021

Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games
by Yu Bai et al

02-24-2021

Directional Bias Amplification
by Angelina Wang et al

02-25-2021

Off-Policy Imitation Learning from Observations
by Zhuangdi Zhu et al

02-24-2021

Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning
by Víctor Campos et al

02-25-2021

An introduction to distributed training of deep neural networks for segmentation tasks with large seismic datasets
by Claire Birnie et al

02-25-2021

Learning Chess Blindfolded: Evaluating Language Models on State Tracking
by Shubham Toshniwal et al

02-23-2021

An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery
by Lucas Costa Brito et al

02-24-2021

An Overview of Direct Diagnosis and Repair Techniques in the WeeVis Recommendation Environment
by Alexander Felfernig et al

02-24-2021

Generating and Blending Game Levels via Quality-Diversity in the Latent Space of a Variational Autoencoder
by Anurag Sarkar et al

02-23-2021

Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models
by Harold Ott et al

02-25-2021

Benchmarking and Survey of Explanation Methods for Black Box Models
by Francesco Bodria et al

02-23-2021

Accelerating Recursive Partition-Based Causal Structure Learning
by Md. Musfiqur Rahman et al

02-23-2021

A Novel Deep Learning Method for Textual Sentiment Analysis
by Hossein Sadr et al

02-25-2021

Robust Deep Reinforcement Learning via Multi-View Information Bottleneck
by Jiameng Fan et al

02-25-2021

Boundary-induced and scene-aggregated network for monocular depth prediction
by Feng Xue et al

02-24-2021

AutoAI-TS: AutoAI for Time Series Forecasting
by Syed Yousaf Shah et al

02-23-2021

Oriole: Thwarting Privacy against Trustworthy Deep Learning Models
by Liuqiao Chen et al

02-24-2021

Triplet loss based embeddings for forensic speaker identification in Spanish
by Emmanuel Maqueda et al

02-24-2021

Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning
by Jianzhun Shao et al

02-24-2021

Deep Reinforcement Learning for Safe Landing Site Selection with Concurrent Consideration of Divert Maneuvers
by Keidai Iiyama et al

02-24-2021

CoreDiag: Eliminating Redundancy in Constraint Sets
by Alexander Felfernig et al

02-23-2021

Parameterized Complexity of Logic-Based Argumentation in Schaefers Framework
by Yasir Mahmood et al

02-23-2021

Location Trace Privacy Under Conditional Priors
by Casey Meehan et al

02-25-2021

Towards Robust Graph Contrastive Learning
by Nikola Jovanović et al

02-24-2021

Imitation Learning for Robust and Safe Real-time Motion Planning: A Contraction Theory Approach
by Hiroyasu Tsukamoto et al

02-26-2021

Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification
by Cheng Xie et al

02-26-2021

PredDiffPredDiff: Explanations and Interactions from Conditional Expectations
by Stefan Blücher et al

02-24-2021

Stochastic Aggregation in Graph Neural Networks
by Yuanqing Wang et al

02-23-2021

Paraphrases do not explain word analogies
by Louis Fournier et al

02-25-2021

MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures
by Luyan Liu et al

02-25-2021

ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning
by Xin Xie et al

02-26-2021

Zoetrope Genetic Programming for Regression
by Aurélie Boisbunon et al

02-25-2021

A Reconfigurable Winograd CNN Accelerator with Nesting Decomposition Algorithm for Computing Convolution with Large Filters
by Jingbo Jiang et al

02-25-2021

An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization
by Elan Rosenfeld et al

02-26-2021

NOMU: Neural Optimization-based Model Uncertainty
by Jakob Heiss et al

02-25-2021

Combinatorial Bandits under Strategic Manipulations
by Jing Dong et al

02-23-2021

Greedy Multi-step Off-Policy Reinforcement Learning
by Yuhui Wang et al

02-24-2021

The Logical Options Framework
by Brandon Araki et al

02-23-2021

Model-Attentive Ensemble Learning for Sequence Modeling
by Victor D. Bourgin et al

02-23-2021

CAC: A Clustering Based Framework for Classification
by Shivin Srivastava et al

02-24-2021

Designing Explanations for Group Recommender Systems
by A. Felfernig et al

02-25-2021

Non-invasive Cognitive-level Human Interfacing for the Robotic Restoration of Reaching & Grasping
by Ali Shafti et al

02-25-2021

Bias-reduced multi-step hindsight experience replay
by Rui Yang et al

02-24-2021

Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows
by Nazneen N Sultana et al

02-24-2021

A CP-Net based Qualitative Composition Approach for an IaaS Provider
by Sheik Mohammad Mostakim Fattah et al

02-23-2021

Differentiable Logic Machines
by Matthieu Zimmer et al

02-24-2021

Learning to Shift Attention for Motion Generation
by You Zhou et al

02-26-2021

Beyond Convolutions: A Novel Deep Learning Approach for Raw Seismic Data Ingestion
by Zhaozhuo Xu et al

02-26-2021

Towards Robust and Reliable Algorithmic Recourse
by Sohini Upadhyay et al

02-23-2021

Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases
by Michael van Bekkum et al

02-26-2021

Zero-Shot Learning Based on Knowledge Sharing
by Zeng Ting et al

02-23-2021

Scaling up learning with GAIT-prop
by Sander Dalm et al

02-25-2021

Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods
by Nicholay Topin et al

02-23-2021

Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving
by Chen Tang et al

02-24-2021

Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network
by Nishanth Rao et al

02-23-2021

Fair Set Selection: Meritocracy and Social Welfare
by Thomas Kleine Buening et al

02-23-2021

Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others
by Kanishk Gandhi et al

02-23-2021

School of hard knocks: Curriculum analysis for Pommerman with a fixed computational budget
by Omkar Shelke et al

02-23-2021

A Simulation-Based Test of Identifiability for Bayesian Causal Inference
by Sam Witty et al

02-23-2021

Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation
by Xiaoyang Qu et al

02-26-2021

Why did the distribution change?
by Kailash Budhathoki et al

02-23-2021

Recurrent Model Predictive Control
by Zhengyu Liu et al

02-25-2021

Unfounded Sets for Disjunctive Hybrid MKNF Knowledge Bases
by Spencer Killen et al

02-25-2021

Multi-Agent Path Planning based on MPC and DDPG
by Junxiao Xue et al

02-26-2021

Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach
by Shashi Suman et al

02-23-2021

Inferring Agents Preferences as Priors for Probabilistic Goal Recognition
by Kin Max Gusmão et al

02-23-2021

Models we Can Trust: Toward a Systematic Discipline of (Agent-Based) Model Interpretation and Validation
by Gabriel Istrate

02-26-2021

ECO: Enabling Energy-Neutral IoT Devices through Runtime Allocation of Harvested Energy
by Yigit Tuncel et al

02-25-2021

Detection of Alzheimers Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images
by Kuo Yang et al

02-25-2021

Case Level Counterfactual Reasoning in Process Mining
by Mahnaz Sadat Qafari et al

02-26-2021

New Techniques that Improve ENIGMA-style Clause Selection Guidance
by Martin Suda

02-23-2021

Multi-Space Evolutionary Search for Large-Scale Optimization
by Liang Feng et al

02-25-2021

Motion Planning for a Pair of Tethered Robots
by Reza H. Teshnizi et al

02-26-2021

Information algebras of coherent sets of gambles
by Juerg Kohlas et al

 
Craig Smith