supervised learning

Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback ACL 2023 Learning to Design Analog Circuits to Meet Threshold Specifications ICML 2023 Learning to Induce Causal Structure ICLR 2023 Legal Argument Extraction from Court Judgements using Integer Linear Programming EMNLP 2023 Loss Balancing for Fair Supervised Learning ICML 2023 Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality AISTATS 2023 Multi-View Action Recognition Using Contrastive Learning WACV 2023 No Reason for No Supervision: Improved Generalization in Supervised Models ICLR 2023 Participatory Personalization in Classification NeurIPS 2023 PCA-based Multi-Task Learning: a Random Matrix Approach ICML 2023 PEANUT: Predicting and Navigating to Unseen Targets ICCV 2023 Reachability-based Trajectory Design with Neural Implicit Safety Constraints RSS 2023 Sampling weights of deep neural networks NeurIPS 2023 Scent Mining: Extracting Olfactory Events, Smell Sources and Qualities EACL 2023 SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching ICML 2023 Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network AAAI 2023 Semantic Frame Induction with Deep Metric Learning EACL 2023 SuperDialseg: A Large-scale Dataset for Supervised Dialogue Segmentation EMNLP 2023 TalkUp: Paving the Way for Understanding Empowering Language EMNLP 2023 The Importance of Human-Labeled Data in the Era of LLMs IJCAI 2023 Toward a Perspectivist Turn in Ground Truthing for Predictive Computing AAAI 2023 TransPath: Learning Heuristics for Grid-Based Pathfinding via Transformers AAAI 2023 VA-DepthNet: A Variational Approach to Single Image Depth Prediction ICLR 2023 Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets NeurIPS 2023 A Boosting Approach to Reinforcement Learning NeurIPS 2022