Papers
Sat 17 Jul 2021
42 papers
- FEBR: Expert-Based Recommendation Framework for beneficial and personalized content
- Agent-Environment Network for Temporal Action Proposal Generation
- Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election
- Heterogeneous Face Frontalization via Domain Agnostic Learning
- FairBalance: How to Achieve Equalized Odds With Data Pre-processing
- PICASO: Permutation-Invariant Cascaded Attentional Set Operator
- Communicating via Markov Decision Processes
- On the Robustness of Deep Reinforcement Learning in IRS-Aided Wireless Communications Systems
- Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences
- Improved Bounds for Online Facility Location with Predictions
- Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images
- STRODE: Stochastic Boundary Ordinary Differential Equation
- Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression
- M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis
- Tea: Program Repair Using Neural Network Based on Program Information Attention Matrix
- Constraint Answer Set Programming: Integrational and Translational (or SMT-based) Approaches
- Generative Pretraining for Paraphrase Evaluation
- Gait-learning with morphologically evolving robots generated by L-system
- Learning De-identified Representations of Prosody from Raw Audio
- Woodscape Fisheye Semantic Segmentation for Autonomous Driving -- CVPR 2021 OmniCV Workshop Challenge
- High-Accuracy Model-Based Reinforcement Learning, a Survey
- Weakly-supervised Part-Attention and Mentored Networks for Vehicle Re-Identification
- On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems
- Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
- On the Copying Behaviors of Pre-Training for Neural Machine Translation
- Self Training with Ensemble of Teacher Models
- Minimising quantifier variance under prior probability shift
- Dynamic Transformer for Efficient Machine Translation on Embedded Devices
- Complexity-Optimized Sparse Bayesian Learning for Scalable Classification Tasks
- Towards autonomic orchestration of machine learning pipelines in future networks
- RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition
- COVID-19 Multidimensional Kaggle Literature Organization
- BEDS-Bench: Behavior of EHR-models under Distributional Shift--A Benchmark
- Overview and Insights from the SciVer Shared Task on Scientific Claim Verification
- SCV-Stereo: Learning Stereo Matching from a Sparse Cost Volume
- Co-Teaching: An Ark to Unsupervised Stereo Matching
- Hierarchical Reinforcement Learning with Optimal Level Synchronization Based on Flow-Based Deep Generative Model
- Model Uncertainty and Correctability for Directed Graphical Models
- Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling
- Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking
- Megaverse: Simulating Embodied Agents at One Million Experiences per Second
- Data-informed Deep Optimization