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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)

TC-Diffuser: Bi-Condition Multi-Modal Diffusion for Tropical Cyclone Forecasting AAAI 2025 T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning CVPR 2025 TCQA2: A Tiered Conversational Q&A Agent in Gaming ACL 2025 TCSinger 2: Customizable Multilingual Zero-shot Singing Voice Synthesis ACL 2025 TEACH: A Contrastive Knowledge Adaptive Distillation Framework for Classical Chinese Understanding ACL 2025 Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning EMNLP 2025 Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences ACL 2025 Teaching by Failure: Counter-Example–Driven Curricula for Transformer Self-Improvement IJCNLP 2025 Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models COLING 2025 Teaching Language Models To Gather Information Proactively EMNLP 2025 Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals ACL 2025 Teaching LLMs How to Learn with Contextual Fine-Tuning ICLR 2025 Teaching Models to Improve on Tape AAAI 2025 Teaching Text Agents to Learn Sequential Decision Making from Failure ACL 2025 Teaching VLMs to Localize Specific Objects from In-context Examples ICCV 2025 Teaching Your Models to Understand Code via Focal Preference Alignment EMNLP 2025 Teach Small Models to Reason by Curriculum Distillation EMNLP 2025 TeamB2B at BLP-2025 Task 2: BanglaForge: LLM Collaboration with Self-Refinement for Bangla Code Generation AACL 2025 Team Cantharellus at SemEval-2025 Task 3: Hallucination Span Detection with Fine Tuning on Weakly Supervised Synthetic Data SemEval 2025 Team FMD LLM at the Financial Misinformation Detection Challenge Task: Exploring Task Structuring and Metadata Impact on Performance COLING 2025 Team INSALyon2 at SemEval-2025 Task 10: A Zero-shot Agentic Approach to Text Classification SemEval 2025 Team INSAntive at SemEval-2025 Task 10: Hierarchical Text Classification using BERT SemEval 2025 Team INSAntive at SlavicNLP-2025 Shared Task: Data Augmentation and Enhancement via Explanations for Persuasion Technique Classification ACL 2025 TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition ACL 2025 Team ML_Forge@DravidianLangTech 2025: Multimodal Hate Speech Detection in Dravidian Languages NAACL 2025