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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)

1-800-SHARED-TASKS at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains COLING 2025 2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision NAACL 2025 2M-BELEBELE: Highly Multilingual Speech and American Sign Language Comprehension Dataset Download PDF ACL 2025 300k/ns team at the Crypto Trading Challenge Task: Enhancing the justification of accurate trading decisions through parameter-efficient fine-tuning of reasoning models COLING 2025 3CAD: A Large-Scale Real-World 3C Product Dataset for Unsupervised Anomaly Detection AAAI 2025 3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous Driving AAAI 2025 3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation AAAI 2025 3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection ICCV 2025 3D Prior Is All You Need: Cross-Task Few-shot 2D Gaze Estimation CVPR 2025 3D-Properties: Identifying Challenges in DPO and Charting a Path Forward ICLR 2025 3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection EMNLP 2025 3D Test-time Adaptation via Graph Spectral Driven Point Shift ICCV 2025 3R: Enhancing Sentence Representation Learning via Redundant Representation Reduction EMNLP 2025 3SAT: A Simple Self-Supervised Adversarial Training Framework AAAI 2025 4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding ICCV 2025 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance AAAI 2025 4DGC: Rate-Aware 4D Gaussian Compression for Efficient Streamable Free-Viewpoint Video CVPR 2025 4Real-Video: Learning Generalizable Photo-Realistic 4D Video Diffusion CVPR 2025 5cNLP at BioLaySumm2025: Prompts, Retrieval, and Multimodal Fusion ACL 2025 7 Points to Tsinghua but 10 Points to ? Assessing Large Language Models in Agentic Multilingual National Bias ACL 2025 A²RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion AAAI 2025 𝒜3: Automatic Alignment Framework for Attributed Text Generation ACL 2025 A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment CVPR 2025 AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP CVPR 2025 AAIG at GenAI Detection Task 1: Exploring Syntactically-Aware, Resource-Efficient Small Autoregressive Decoders for AI Content Detection COLING 2025