Application Areas

Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract) IJCAI 2023 Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics Interspeech 2023 Online Knowledge Distillation for Multi-Task Learning WACV 2023 Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms NeurIPS 2023 Online Platforms and the Fair Exposure Problem under Homophily AAAI 2023 Online Punctuation Restoration using ELECTRA Model for streaming ASR Systems Interspeech 2023 Only a Few Classes Confusing: Pixel-Wise Candidate Labels Disambiguation for Foggy Scene Understanding AAAI 2023 On Measuring Fairness in Generative Models NeurIPS 2023 On Minimizing the Impact of Dataset Shifts on Actionable Explanations UAI 2023 On Modular Learning of Distributed Systems for Predicting End-to-End Latency NSDI 2023 On Monotonic Aggregation for Open-domain QA Interspeech 2023 On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes NeurIPS 2023 On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach IJCAI 2023 On Pitfalls of Test-Time Adaptation ICML 2023 On Private and Robust Bandits NeurIPS 2023 On Representing Linear Programs by Graph Neural Networks ICLR 2023 On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation ICML 2023 On student-teacher deviations in distillation: does it pay to disobey? NeurIPS 2023 On Surgical Fine-tuning for Language Encoders EMNLP 2023 On the Adversarial Robustness of Out-of-distribution Generalization Models NeurIPS 2023 On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research EMNLP 2023 On the choice of Perception Loss Function for Learned Video Compression NeurIPS 2023 On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence NeurIPS 2023 On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization AAAI 2023 On the Connection between Pre-training Data Diversity and Fine-tuning Robustness NeurIPS 2023