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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)

A Gold Standard with Silver Linings: Scaling Up Annotation for Distinguishing Bosnian, Croatian, Montenegrin and Serbian COLING 2024 A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation ICLR 2024 “A good pun is its own reword”: Can Large Language Models Understand Puns? EMNLP 2024 A GPT among Annotators: LLM-based Entity-Level Sentiment Annotation EACL 2024 A Gradient Accumulation Method for Dense Retriever under Memory Constraint NeurIPS 2024 AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings EMNLP 2024 A Graph Theoretic Approach for Preference Learning with Feature Information UAI 2024 A Greedy Approximation for k-Determinantal Point Processes AISTATS 2024 AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization ACL 2024 AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack AAAI 2024 AHA: Human-Assisted Out-of-Distribution Generalization and Detection NeurIPS 2024 A Hierarchical Network for Multimodal Document-Level Relation Extraction AAAI 2024 Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound AAAI 2024 A Huber Loss Minimization Approach to Byzantine Robust Federated Learning AAAI 2024 A Human-in-the-Loop Approach to Improving Cross-Text Prosody Transfer Interspeech 2024 A Hybrid Approach to Aspect Based Sentiment Analysis Using Transfer Learning COLING 2024 AILS-NTUA at SemEval-2024 Task 6: Efficient model tuning for hallucination detection and analysis SemEval 2024 AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations SemEval 2024 AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair Analysis SemEval 2024 AI-Olympics: Exploring the Generalization of Agents through Open Competitions IJCAI 2024 AIpom at SemEval-2024 Task 8: Detecting AI-produced Outputs in M4 SemEval 2024 AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension ACL 2024 AIST AIRC Systems for the WMT 2024 Shared Tasks EMNLP 2024 A Joint Noise Disentanglement and Adversarial Training Framework for Robust Speaker Verification Interspeech 2024 AKEW: Assessing Knowledge Editing in the Wild EMNLP 2024