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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)

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization ICCV 2025 Redundancy Principles for MLLMs Benchmarks ACL 2025 RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution EMNLP 2025 ReEdit: Multimodal Exemplar-Based Image Editing WACV 2025 Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference NAACL 2025 Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model ICLR 2025 Re-Examine Distantly Supervised NER: A New Benchmark and a Simple Approach COLING 2025 Reference-Guided Verdict: LLMs-as-Judges in Automatic Evaluation of Free-Form QA EMNLP 2025 Referential ambiguity and clarification requests: comparing human and LLM behaviour EMNLP 2025 REFIND at SemEval-2025 Task 3: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models SemEval 2025 REFINE: Inversion-Free Backdoor Defense via Model Reprogramming ICLR 2025 Refine Knowledge of Large Language Models via Adaptive Contrastive Learning ICLR 2025 Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement AAAI 2025 Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models ACL 2025 RE-FIN: Retrieval-based Enrichment for Financial data COLING 2025 ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection ACL 2025 Reflective Agreement: Combining Self-Mixture of Agents with a Sequence Tagger for Robust Event Extraction EMNLP 2025 Reflective Teacher: Semi-Supervised Multimodal 3D Object Detection in Bird's-Eye-View via Uncertainty Measure WACV 2025 Reframing Image Difference Captioning with BLIP2IDC and Synthetic Augmentation WACV 2025 ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning WACV 2025 RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation EMNLP 2025 REGen: A Reliable Evaluation Framework for Generative Event Argument Extraction EMNLP 2025 Region-aware Difference Distilling with Attribute-guided Contrastive Regularization for Change Captioning AAAI 2025 Region-Based Optimization in Continual Learning for Audio Deepfake Detection AAAI 2025 RegionMatch: Pixel-Region Collaboration for Semi-Supervised Semantic Segmentation in Remote Sensing Images IJCAI 2025