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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)

CKnowEdit: A New Chinese Knowledge Editing Dataset for Linguistics, Facts, and Logic Error Correction in LLMs ACL 2025 CLaC at SemEval-2025 Task 6: A Multi-Architecture Approach for Corporate Environmental Promise Verification SemEval 2025 CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention ACL 2025 CLaMP 3: Universal Music Information Retrieval Across Unaligned Modalities and Unseen Languages ACL 2025 CLAP-ART: Automated Audio Captioning with Semantic-rich Audio Representation Tokenizer Interspeech 2025 ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Interspeech 2025 Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning AAAI 2025 Class-Conditioned Transformation for Enhanced Robust Image Classification WACV 2025 Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable CVPR 2025 Classifier-Augmented Generation for Structured Workflow Prediction EMNLP 2025 Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification CVPR 2025 Classifying Unreliable Narrators with Large Language Models ACL 2025 Class Semantic Attribute Perception Guided Zero-Shot Learning AAAI 2025 CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers AAAI 2025 CleanDIFT: Diffusion Features without Noise CVPR 2025 CLEAR: Character Unlearning in Textual and Visual Modalities ACL 2025 ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large Language Models CVPR 2025 CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection AAAI 2025 CLEP-DG: Contrastive Learning for Speech Emotion Domain Generalization via Soft Prompt Tuning Interspeech 2025 CLeVeR: Multi-modal Contrastive Learning for Vulnerability Code Representation ACL 2025 Click&Describe: Multimodal Grounding and Tracking for Aerial Objects WACV 2025 Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off ICML 2025 ClimateCheck2025: Multi-Stage Retrieval Meets LLMs for Automated Scientfic Fact-Checking ACL 2025 ClimateEval: A Comprehensive Benchmark for NLP Tasks Related to Climate Change ACL 2025 ClimbingCap: Multi-Modal Dataset and Method for Rock Climbing in World Coordinate CVPR 2025