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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)

Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors AAAI 2025 Unveiling Visual Perception in Language Models: An Attention Head Analysis Approach CVPR 2025 UoB-NLP at SemEval-2025 Task 11: Leveraging Adapters for Multilingual and Cross-Lingual Emotion Detection SemEval 2025 UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models ACL 2025 UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation CVPR 2025 UPP: Unified Point-Level Prompting for Robust Point Cloud Analysis ICCV 2025 UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent ICML 2025 URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration CVPR 2025 USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation AAAI 2025 Using Humor to Bypass Safety Guardrails in Large Language Models ACL 2025 Using Large Language Models to Perform MIPVU-Inspired Automatic Metaphor Detection ACL 2025 USP: Unified Self-Supervised Pretraining for Image Generation and Understanding ICCV 2025 Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation EMNLP 2025 Utilize the Flow Before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction Tuning AAAI 2025 Utilizing Vision-Language Models for Detection of Leaf-Based Diseases in Tomatoes AAAI 2025 UT-NLP at SemEval-2025 Task 11: Evaluating Zero-Shot Capability of GPT-4o mini on Emotion Recognition via Role-Play and Contrastive Judging SemEval 2025 UvA-MT’s Participation in the WMT25 General Translation Shared Task EMNLP 2025 V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding ICCV 2025 V2V3D: View-to-View Denoised 3D Reconstruction for Light Field Microscopy CVPR 2025 VA-AR: Learning Velocity-Aware Action Representations with Mixture of Window Attention AAAI 2025 VADE: Visual Attention Guided Hallucination Detection and Elimination ACL 2025 VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning UAI 2025 Value-Spectrum: Quantifying Preferences of Vision-Language Models via Value Decomposition in Social Media Contexts ACL 2025 VAQUUM: Are Vague Quantifiers Grounded in Visual Data? ACL 2025 VarCMP: Adapting Cross-Modal Pre-Training Models for Video Anomaly Retrieval AAAI 2025