2021.15.2 AI papers

 

02-09-2021

Reverb: A Framework For Experience Replay
by Albin Cassirer et al

02-09-2021

SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
by Bahare Fatemi et al

02-09-2021

AI-based Blackbox Code Deobfuscation: Understand, Improve and Mitigate
by Grégoire Menguy et al

02-11-2021

Private Prediction Sets
by Anastasios N. Angelopoulos et al

02-10-2021

Artificial intelligence in communication impacts language and social relationships
by Jess Hohenstein et al

02-11-2021

Comparative Analysis of Machine Learning Approaches to Analyze and Predict the Covid-19 Outbreak
by Muhammad Naeem et al

02-10-2021

Representation Matters: Offline Pretraining for Sequential Decision Making
by Mengjiao Yang et al

02-10-2021

Two Novel Performance Improvements for Evolving CNN Topologies
by Yaron Strauch et al

02-11-2021

Focusing on the Hybrid Quantum Computing -- Tabu Search Algorithm: new results on the Asymmetric Salesman Problem
by Eneko Osaba et al

02-09-2021

End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving
by Der-Hau Lee et al

02-12-2021

Improving Object Detection in Art Images Using Only Style Transfer
by David Kadish et al

02-10-2021

Derivative-Free Reinforcement Learning: A Review
by Hong Qian et al

02-10-2021

Customizing Contextualized Language Models forLegal Document Reviews
by Shohreh Shaghaghian et al

02-11-2021

Hedging of Financial Derivative Contracts via Monte Carlo Tree Search
by Oleg Szehr

02-10-2021

Sparse-Push: Communication- & Energy-Efficient Decentralized Distributed Learning over Directed & Time-Varying Graphs with non-IID Datasets
by Sai Aparna Aketi et al

02-10-2021

Classification of Long Noncoding RNA Elements Using Deep Convolutional Neural Networks and Siamese Networks
by Brian McClannahan et al

02-09-2021

When does gradient descent with logistic loss interpolate using deep networks with smoothed ReLU activations?
by Niladri S. Chatterji et al

02-11-2021

A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries
by Antonio Vergari et al

02-12-2021

Optimizing Inference Performance of Transformers on CPUs
by Dave Dice et al

02-10-2021

Reproducibility Report: La-MAML: Look-ahead Meta Learning for Continual Learning
by Joel Joseph et al

02-10-2021

Addressing the Topological Defects of Disentanglement via Distributed Operators
by Diane Bouchacourt et al

02-10-2021

Towards Certifying ℓ∞ℓ∞ Robustness using Neural Networks with ℓ∞ℓ∞-dist Neurons
by Bohang Zhang et al

02-09-2021

Policy Augmentation: An Exploration Strategy for Faster Convergence of Deep Reinforcement Learning Algorithms
by Arash Mahyari

02-10-2021

Scale Normalized Image Pyramids with AutoFocus for Object Detection
by Bharat Singh et al

02-10-2021

On the Properties of Kullback-Leibler Divergence Between Gaussians
by Yufeng Zhang et al

02-11-2021

Proof Artifact Co-training for Theorem Proving with Language Models
by Jesse Michael Han et al

02-09-2021

Where is my hand? Deep hand segmentation for visual self-recognition in humanoid robots
by Alexandre Almeida et al

02-10-2021

Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation
by Jinwei Xing et al

02-11-2021

A Logic for Conditional Local Strategic Reasoning
by Valentin Goranko et al

02-10-2021

Enhancing Real-World Adversarial Patches with 3D Modeling Techniques
by Yael Mathov et al

02-11-2021

Testing Framework for Black-box AI Models
by Aniya Aggarwal et al

02-09-2021

Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning
by Yu Liu et al

02-11-2021

A Metamodel and Framework for Artificial General Intelligence From Theory to Practice
by Hugo Latapie et al

02-09-2021

AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units
by Yilmazcan Özyurt et al

02-11-2021

Artificial Intelligence Advances for De Novo Molecular Structure Modeling in Cryo-EM
by Dong Si et al

02-09-2021

CorrDetector: A Framework for Structural Corrosion Detection from Drone Images using Ensemble Deep Learning
by Abdur Rahim Mohammad Forkan et al

02-10-2021

Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach
by Chen-Yu Wei et al

02-09-2021

Improving Visual Reasoning by Exploiting The Knowledge in Texts
by Sahand Sharifzadeh et al

02-11-2021

Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems
by Kaiwen Li et al

02-11-2021

Echo State Networks for Reinforcement Learning
by Allen G. Hart et al

02-09-2021

Sparsification via Compressed Sensing for Automatic Speech Recognition
by Kai Zhen et al

02-10-2021

Defense Against Reward Poisoning Attacks in Reinforcement Learning
by Kiarash Banihashem et al

02-09-2021

Decontextualization: Making Sentences Stand-Alone
by Eunsol Choi et al

02-09-2021

Distribution Adaptive INT8 Quantization for Training CNNs
by Kang Zhao et al

02-09-2021

COLOGNE: Coordinated Local Graph Neighborhood Sampling
by Konstantin Kutzkov

02-11-2021

The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms
by Lorena Qendro et al

02-10-2021

Doctor Imitator: A Graph-based Bone Age Assessment Framework Using Hand Radiographs
by Jintai Chen et al

02-12-2021

Min-Max-Plus Neural Networks
by Ye Luo et al

02-11-2021

Using Machine Intelligence to Prioritise Code Review Requests
by Nishrith Saini et al

02-09-2021

Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search
by Peidong Liu et al

02-10-2021

Slicing the hypercube is not easy
by Gal Yehuda et al

02-10-2021

Risk-Averse Bayes-Adaptive Reinforcement Learning
by Marc Rigter et al

02-11-2021

Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks
by Marlotte Pannekoek et al

02-09-2021

Artificial Intelligence based Autonomous Molecular Design for Medical Therapeutic: A Perspective
by Rajendra P. Joshi et al

02-09-2021

Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning
by Wenhao Li et al

02-11-2021

Feature Selection for Multivariate Time Series via Network Pruning
by Kang Gu et al

02-10-2021

Searching for Alignment in Face Recognition
by Xiaqing Xu et al

02-09-2021

Negative Data Augmentation
by Abhishek Sinha et al

02-09-2021

Regression Oracles and Exploration Strategies for Short-Horizon Multi-Armed Bandits
by Robert C. Gray et al

02-10-2021

The human-AI relationship in decision-making: AI explanation to support people on justifying their decisions
by Juliana Jansen Ferreira et al

02-09-2021

Residue Density Segmentation for Monitoring and Optimizing Tillage Practices
by Jennifer Hobbs et al

02-11-2021

Sufficiently Accurate Model Learning for Planning
by Clark Zhang et al

02-10-2021

Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels
by Zhaowei Zhu et al

02-12-2021

Rethinking Eye-blink: Assessing Task Difficulty through Physiological Representation of Spontaneous Blinking
by Youngjun Cho

02-11-2021

Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model
by Gustavo Oliveira et al

02-10-2021

A Similarity-preserving Neural Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit
by Yanis Bahroun et al

02-10-2021

Information Prediction using Knowledge Graphs for Contextual Malware Threat Intelligence
by Nidhi Rastogi et al

02-09-2021

Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning
by Xiaoteng Ma et al

02-11-2021

Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach
by Paramita Koley et al

02-10-2021

Language Models for Lexical Inference in Context
by Martin Schmitt et al

02-11-2021

Multi-Task Reinforcement Learning with Context-based Representations
by Shagun Sodhani et al

02-09-2021

Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent State
by Shi Dong et al

02-10-2021

Multi-turn Dialogue Reading Comprehension with Pivot Turns and Knowledge
by Zhuosheng Zhang et al

02-12-2021

Modeling Dynamic User Interests: A Neural Matrix Factorization Approach
by Paramveer Dhillon et al

02-11-2021

DirectDebug: Automated Testing and Debugging of Feature Models
by Viet-Man Le et al

02-10-2021

Hybrid In-memory Computing Architecture for the Training of Deep Neural Networks
by Vinay Joshi et al

02-09-2021

Security and Privacy for Artificial Intelligence: Opportunities and Challenges
by Ayodeji Oseni et al

02-10-2021

Finding the Stochastic Shortest Path with Low Regret: The Adversarial Cost and Unknown Transition Case
by Liyu Chen et al

02-09-2021

Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach
by Yikai Zhang et al

02-09-2021

Train your classifier first: Cascade Neural Networks Training from upper layers to lower layers
by Shucong Zhang et al

02-09-2021

Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement
by Andrew Slavin Ross et al

02-12-2021

Jacobian Determinant of Normalizing Flows
by Huadong Liao et al

02-09-2021

Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19
by Logan Ward et al

02-09-2021

Reinforcement Learning For Constraint Satisfaction Game Agents (15-Puzzle, Minesweeper, 2048, and Sudoku)
by Anav Mehta

02-10-2021

Learning Equational Theorem Proving
by Jelle Piepenbrock et al

02-12-2021

Disturbing Reinforcement Learning Agents with Corrupted Rewards
by Rubén Majadas et al

02-12-2021

PAC-BUS: Meta-Learning Bounds via PAC-Bayes and Uniform Stability
by Alec Farid et al

02-09-2021

The Factory Must Grow: Automation in Factorio
by Kenneth N. Reid et al

02-09-2021

Memory-Associated Differential Learning
by Yi Luo et al

02-12-2021

Certified Defenses: Why Tighter Relaxations May Hurt Training?
by Nikola Jovanović et al

02-10-2021

A Neural Network with Local Learning Rules for Minor Subspace Analysis
by Yanis Bahroun et al

02-10-2021

Searching CUDA code autotuning spaces with hardware performance counters: data from benchmarks running on various GPU architectures
by Jiří Filipovič et al

02-09-2021

On Explainability of Graph Neural Networks via Subgraph Explorations
by Hao Yuan et al

02-11-2021

CASA-Based Speaker Identification Using Cascaded GMM-CNN Classifier in Noisy and Emotional Talking Conditions
by Ali Bou Nassif et al

02-12-2021

Exploiting Spline Models for the Training of Fully Connected Layers in Neural Network
by Kanya Mo et al

02-10-2021

CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
by Hanshu Yan et al

02-09-2021

AuGPT: Dialogue with Pre-trained Language Models and Data Augmentation
by Jonáš Kulhánek et al

02-09-2021

Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
by Guangyu Shen et al

02-10-2021

Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply
by Tiansheng Huang et al

02-09-2021

Principles of Explanation in Human-AI Systems
by Shane T. Mueller et al

02-10-2021

Player Modeling via Multi-Armed Bandits
by Robert C. Gray et al

02-09-2021

Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies
by Federico Cacciamani et al

02-11-2021

Deep Reinforcement Agent for Scheduling in HPC
by Yuping Fan et al

02-09-2021

Interrogating the Black Box: Transparency through Information-Seeking Dialogues
by Andrea Aler Tubella et al

02-12-2021

Transformer Language Models with LSTM-based Cross-utterance Information Representation
by G. Sun et al

02-10-2021

DANTE: Predicting Insider Threat using LSTM on system logs
by Nidhi Rastogi et al

02-09-2021

rl_reach: Reproducible Reinforcement Learning Experiments for Robotic Reaching Tasks
by Pierre Aumjaud et al

02-09-2021

On permutation invariant training for speech source separation
by Xiaoyu Liu et al

02-12-2021

A Decentralized Approach Towards Responsible AI in Social Ecosystems
by Wenjing Chu

02-09-2021

Learning State Representations from Random Deep Action-conditional Predictions
by Zeyu Zheng et al

02-09-2021

Pairwise Weights for Temporal Credit Assignment
by Zeyu Zheng et al

02-09-2021

Equilibrium Refinements for Multi-Agent Influence Diagrams: Theory and Practice
by Lewis Hammond et al

02-12-2021

VitrAI -- Applying Explainable AI in the Real World
by Marc Hanussek et al

02-10-2021

Systematic Generalization for Predictive Control in Multivariate Time Series
by Hritik Bansal et al

02-11-2021

DEEPF0: End-To-End Fundamental Frequency Estimation for Music and Speech Signals
by Satwinder Singh et al

02-09-2021

Adversarially Robust Classifier with Covariate Shift Adaptation
by Jay Nandy et al

02-09-2021

Locally Adaptive Label Smoothing for Predictive Churn
by Dara Bahri et al

02-09-2021

Label Smoothed Embedding Hypothesis for Out-of-Distribution Detection
by Dara Bahri et al

02-12-2021

SCOUT: Socially-COnsistent and UndersTandable Graph Attention Network for Trajectory Prediction of Vehicles and VRUs
by Sandra Carrasco et al

02-12-2021

Adaptive Sampling for Fast Constrained Maximization of Submodular Function
by Francesco Quinzan et al

02-12-2021

Intelligent Software Web Agents: A Gap Analysis
by Sabrina Kirrane

02-12-2021

An Overview of Recommender Systems and Machine Learning in Feature Modeling and Configuration
by Alexander Felfernig et al

02-11-2021

Knowledge Infused Policy Gradients for Adaptive Pandemic Control
by Kaushik Roy et al

02-10-2021

Leveraging Reinforcement Learning for evaluating Robustness of KNN Search Algorithms
by Pramod Vadiraja et al

02-09-2021

Uncertainty Quantification and Propagation for Airline Disruption Management
by Kolawole Ogunsina et al

02-09-2021

Hallmarks of Human-Machine Collaboration: A framework for assessment in the DARPA Communicating with Computers Program
by Robyn Kozierok et al

 
Craig Smith