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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)

CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection AAAI 2025 CLeVeR: Multi-modal Contrastive Learning for Vulnerability Code Representation ACL 2025 CLFace: A Scalable and Resource-Efficient Continual Learning Framework for Lifelong Face Recognition WACV 2025 CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale ICLR 2025 Client Selection for Federated Policy Optimization with Environment Heterogeneity JMLR 2025 ClimateEval: A Comprehensive Benchmark for NLP Tasks Related to Climate Change ACL 2025 Clinical Measurements with Calibrated Instance-Dependent Confidence Interval MIDL 2025 CliniDial: A Naturally Occurring Multimodal Dialogue Dataset for Team Reflection in Action During Clinical Operation ACL 2025 CLIPArTT: Adaptation of CLIP to New Domains at Test Time WACV 2025 CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination AAAI 2025 CLIP-driven Coarse-to-fine Semantic Guidance for Fine-grained Open-set Semi-supervised Learning CVPR 2025 CLIP-driven View-aware Prompt Learning for Unsupervised Vehicle Re-identification AAAI 2025 CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP ACL 2025 CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation ICCV 2025 CLIP is Strong Enough to Fight Back: Test-time Counterattacks towards Zero-shot Adversarial Robustness of CLIP CVPR 2025 CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality Assessment AAAI 2025 CLIP-RT: Learning Language-Conditioned Robotic Policies from Natural Language Supervision RSS 2025 CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring WACV 2025 CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification ICLR 2025 CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation IJCAI 2025 CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning CVPR 2025 CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening ICLR 2025 CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering CVPR 2025 CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss CVPR 2025 Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning ICLR 2025