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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)

The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks EACL 2024 The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels NAACL 2024 The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks ICML 2024 The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models EMNLP 2024 The Power of Resets in Online Reinforcement Learning NeurIPS 2024 The Predicted-Updates Dynamic Model: Offline, Incremental, and Decremental to Fully Dynamic Transformations COLT 2024 The Price of Implicit Bias in Adversarially Robust Generalization NeurIPS 2024 The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models ACL 2024 The Processing of Stress in End-to-End Automatic Speech Recognition Models Interspeech 2024 The Real Price of Bandit Information in Multiclass Classification COLT 2024 The reasonable effectiveness of speaker embeddings for violence detection Interspeech 2024 The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models NeurIPS 2024 The RIP Corpus of Collaborative Hypothesis-Making COLING 2024 The Road Less Scheduled NeurIPS 2024 The Sample-Communication Complexity Trade-off in Federated Q-Learning NeurIPS 2024 The SMART approach to instance-optimal online learning COLT 2024 The Star Geometry of Critic-Based Regularizer Learning NeurIPS 2024 The State of Relation Extraction Data Quality: Is Bigger Always Better? ACL 2024 The State of the Art of Large Language Models on Chartered Financial Analyst Exams EMNLP 2024 The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline ICML 2024 The Surprising Effectiveness of SP Voting with Partial Preferences NeurIPS 2024 The surprising efficiency of temporal difference learning for rare event prediction NeurIPS 2024 The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning NeurIPS 2024 The Trickle-down Impact of Reward Inconsistency on RLHF ICLR 2024 The Typology of Ellipsis: A Corpus for Linguistic Analysis and Machine Learning Applications EACL 2024