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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System AAAI 2024 Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction CVPR 2024 Facilitating Multimodal Classification via Dynamically Learning Modality Gap NeurIPS 2024 FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks AAAI 2024 FactAlign: Long-form Factuality Alignment of Large Language Models EMNLP 2024 Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models ACL 2024 Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers EMNLP 2024 Factor-Conditioned Speaking-Style Captioning Interspeech 2024 Factored Online Planning in Many-Agent POMDPs AAAI 2024 FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? NeurIPS 2024 Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning AAAI 2024 FactorSim: Generative Simulation via Factorized Representation NeurIPS 2024 FAFA: Frequency-Aware Flow-Aided Self-Supervision for Underwater Object Pose Estimation ECCV 2024 Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent AISTATS 2024 Fair and Efficient Contribution Valuation for Vertical Federated Learning ICLR 2024 Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty NeurIPS 2024 FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs ICLR 2024 Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments EMNLP 2024 FAIR: Filtering of Automatically Induced Rules EACL 2024 FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding EMNLP 2024 Fairness and Privacy Guarantees in Federated Contextual Bandits ACML 2024 Fairness-Aware Meta-Learning via Nash Bargaining NeurIPS 2024 Fairness-Aware Online Positive-Unlabeled Learning EMNLP 2024 Fairness guarantees in multi-class classification with demographic parity JMLR 2024 Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples AAAI 2024