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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

ReDiffDet: Rotation-equivariant Diffusion Model for Oriented Object Detection CVPR 2025 RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services EMNLP 2025 Reduced-rank Factorized Fourier Neural Operator ACML 2025 Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning AAAI 2025 Reducing Divergence in Batch Normalization for Domain Adaptation AAAI 2025 Reducing the Content Bias for AI-Generated Image Detection WACV 2025 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 Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models ACL 2025 Re-Evaluating Group Robustness via Adaptive Class-Specific Scaling WACV 2025 ReferSplat: Referring Segmentation in 3D Gaussian Splatting ICML 2025 ReFF: Reinforcing Format Faithfulness in Language Models Across Varied Tasks AAAI 2025 Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation AISTATS 2025 Refined generalization analysis of the Deep Ritz Method and Physics-Informed Neural Networks ICML 2025 Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement AAAI 2025 Refining CLIP's Spatial Awareness: A Visual-Centric Perspective ICLR 2025 Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models ACL 2025 Refining Text Generation for Realistic Conversational Recommendation via Direct Preference Optimization EMNLP 2025 Reflective Agreement: Combining Self-Mixture of Agents with a Sequence Tagger for Robust Event Extraction EMNLP 2025 ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Interspeech 2025 Refusal-Aware Red Teaming: Exposing Inconsistency in Safety Evaluations EMNLP 2025 Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training ACL 2025 Region-Based Optimization in Continual Learning for Audio Deepfake Detection AAAI 2025 RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning AAAI 2025