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supervised learning

434 papers

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SL

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text classification (6776) neural network (6616) representation learning (6174) large language model (12755) reinforcement learning (4122) sentiment analysis (2079) contrastive learning (3979) feature learning (1309) kernel methods (1096) natural language processing (2027)

Papers

A Model-free Closeness-of-influence Test for Features in Supervised Learning ICML 2023
Loss Balancing for Fair Supervised Learning ICML 2023
Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality AISTATS 2023
Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback ACL 2023
A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation CVPR 2023
Legal Argument Extraction from Court Judgements using Integer Linear Programming EMNLP 2023
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets NIPS 2023
Multi-View Action Recognition Using Contrastive Learning WACV 2023
SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching ICML 2023
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection CVPR 2023
SuperDialseg: A Large-scale Dataset for Supervised Dialogue Segmentation EMNLP 2023
Label Information Bottleneck for Label Enhancement CVPR 2023
TalkUp: Paving the Way for Understanding Empowering Language EMNLP 2023
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing AAAI 2023
AI and Parallelism in CS1: Experiences and Analysis AAAI 2023
TransPath: Learning Heuristics for Grid-Based Pathfinding via Transformers AAAI 2023
Semantic Frame Induction with Deep Metric Learning EACL 2023
Mr-Fosdick at SemEval-2023 Task 5: Comparing Dataset Expansion Techniques for Non-Transformer and Transformer Models: Improving Model Performance through Data Augmentation ACL 2023
Conditional independence testing under misspecified inductive biases NIPS 2023
Learning Adaptive Game Soundtrack Control AAAI 2023
Sampling weights of deep neural networks NIPS 2023
A Unified Theory of Diversity in Ensemble Learning JMLR 2023
Learning in RKHM: a C*-Algebraic Twist for Kernel Machines AISTATS 2023
Learning Control by Iterative Inversion ICML 2023
Learning to Design Analog Circuits to Meet Threshold Specifications ICML 2023