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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 Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning NeurIPS 2024 The Effectiveness of Random Forgetting for Robust Generalization ICLR 2024 The Effect of Sampling Temperature on Problem Solving in Large Language Models EMNLP 2024 The Effects of Data Quality on Named Entity Recognition EACL 2024 The effects of distance on NPI illusive effects in BERT EMNLP 2024 The Effects of Pretraining in Video-Guided Machine Translation COLING 2024 The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph Representations EMNLP 2024 The Emergence of High-Level Semantics in a Signaling Game NAACL 2024 The Empirical Variability of Narrative Perceptions of Social Media Texts EMNLP 2024 The Entropy Enigma: Success and Failure of Entropy Minimization ICML 2024 The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024 The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains NeurIPS 2024 The First Parallel Corpus and Neural Machine Translation Model of Western Armenian and English COLING 2024 The Future of Web Data Mining: Insights from Multimodal and Code-based Extraction Methods EACL 2024 The Generalization Gap in Offline Reinforcement Learning ICLR 2024 The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective JMLR 2024 The Greatest Good Benchmark: Measuring LLMs’ Alignment with Utilitarian Moral Dilemmas EMNLP 2024 The Greek podcast corpus: Competitive speech models for low-resourced languages with weakly supervised data Interspeech 2024 The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations NeurIPS 2024 The Growing Strawberries Dataset: Tracking Multiple Objects With Biological Development Over an Extended Period WACV 2024 The Human-AI Substitution game: active learning from a strategic labeler ICLR 2024 The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis ACL 2024 The Impact of Features Used by Algorithms on Perceptions of Fairness IJCAI 2024 The Impact of Geometric Complexity on Neural Collapse in Transfer Learning NeurIPS 2024 The Impact of Language Adapters in Cross-Lingual Transfer for NLU EACL 2024