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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)

Teaching Language Models to Self-Improve by Learning from Language Feedback ACL 2024 Teaching Language Models to Self-Improve through Interactive Demonstrations NAACL 2024 Teaching Large Language Models an Unseen Language on the Fly ACL 2024 Teaching Large Language Models to Translate with Comparison AAAI 2024 Teaching LLMs to Abstain across Languages via Multilingual Feedback EMNLP 2024 Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering ACL 2024 Teaching Tiny Minds: Exploring Methods to Enhance Knowledge Distillation for Small Language Models CoNLL 2024 Team Curie at HSD-2Lang 2024: Hate Speech Detection in Turkish and Arabic Tweets using BERT-based models EACL 2024 Team-Fictitious Play for Reaching Team-Nash Equilibrium in Multi-team Games NeurIPS 2024 Team MGTD4ADL at SemEval-2024 Task 8: Leveraging (Sentence) Transformer Models with Contrastive Learning for Identifying Machine-Generated Text SemEval 2024 TEA: Test-time Energy Adaptation CVPR 2024 TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition COLING 2024 TechWhiz@DravidianLangTech 2024: Fake News Detection Using Deep Learning Models EACL 2024 Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence CVPR 2024 Tell Me What Is Good about This Property: Leveraging Reviews for Segment-Personalized Image Collection Summarization AAAI 2024 Tell Me What’s Next: Textual Foresight for Generic UI Representations ACL 2024 TelTrans: Applying Multi-Type Telecom Data to Transportation Evaluation and Prediction via Multifaceted Graph Modeling AAAI 2024 TEMA: Token Embeddings Mapping for Enriching Low-Resource Language Models EMNLP 2024 Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation CVPR 2024 Temporal-Distributed Backdoor Attack against Video Based Action Recognition AAAI 2024 Temporal Domain Generalization via Learning Instance-level Evolving Patterns IJCAI 2024 Temporal Generalization Estimation in Evolving Graphs ICLR 2024 Temporal Graph Contrastive Learning for Sequential Recommendation AAAI 2024 Temporally and Distributionally Robust Optimization for Cold-Start Recommendation AAAI 2024 Temporally Consistent Factuality Probing for Large Language Models EMNLP 2024