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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)

Language Model Self-improvement by Reinforcement Learning Contemplation ICLR 2024 Language Models Hallucinate, but May Excel at Fact Verification NAACL 2024 Language Models Still Struggle to Zero-shot Reason about Time Series EMNLP 2024 Language-only Training of Zero-shot Composed Image Retrieval CVPR 2024 Language-to-Code Translation with a Single Labeled Example EMNLP 2024 Language-Universal Speech Attributes Modeling for Zero-Shot Multilingual Spoken Keyword Recognition Interspeech 2024 LAN: Learning to Adapt Noise for Image Denoising CVPR 2024 Laparoflow-SSL: Image Analysis From a Tiny Dataset Through Self-Supervised Transformers Leveraging Unlabeled Surgical Video MIDL 2024 LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification EMNLP 2024 Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI ICLR 2024 Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course EMNLP 2024 Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation IJCAI 2024 Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection IJCAI 2024 Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition ACL 2024 Large Language Models are Good Prompt Learners for Low-Shot Image Classification CVPR 2024 Large Language Models are In-context Teachers for Knowledge Reasoning EMNLP 2024 Large Language Models are not Fair Evaluators ACL 2024 Large Language Models are Students at Various Levels: Zero-shot Question Difficulty Estimation EMNLP 2024 Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment ACL 2024 Large Language Models as Zero-shot Dialogue State Tracker through Function Calling ACL 2024 Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning NAACL 2024 Large Language Models Can Learn Temporal Reasoning ACL 2024 Large Language Models Can Self-Correct with Key Condition Verification EMNLP 2024 Large Language Models Encode the Practice of Medicine NAACL 2024 Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM) NeurIPS 2024