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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)

DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery CVPR 2025 Discl-VC: Disentangled Discrete Tokens and In-Context Learning for Controllable Zero-Shot Voice Conversion Interspeech 2025 DIS-CO: Discovering Copyrighted Content in VLMs Training Data ICML 2025 DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation AAAI 2025 Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning ICML 2025 Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension ICML 2025 Discrete Audio Representations for Automated Audio Captioning Interspeech 2025 Discrete Curvature Graph Information Bottleneck AAAI 2025 Discrete to Continuous: Generating Smooth Transition Poses from Sign Language Observations CVPR 2025 Discrete Tokens Exhibit Interlanguage Speech Intelligibility Benefit: an Analytical Study Towards Accent-robust ASR Only with Native Speech Data Interspeech 2025 Disentangled Contrastive Bundle Recommendation with Conditional Diffusion AAAI 2025 Disentangled Information Bottleneck for Adversarial Text Defense EMNLP 2025 Disentangled Modeling of Preferences and Social Influence for Group Recommendation AAAI 2025 Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal AAAI 2025 Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks AAAI 2025 Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models WACV 2025 Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Interspeech 2025 Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior IJCAI 2025 Disentangling Spatio-Temporal Knowledge for Weakly Supervised Object Detection and Segmentation in Surgical Video WACV 2025 Disentangling Speaker and Content in Pre-trained Speech Models with Latent Diffusion for Robust Speaker Verification Interspeech 2025 Disentangling the Roles of Representation and Selection in Data Pruning ACL 2025 DispatchQA: A Benchmark for Small Function Calling Language Models in E-Commerce Applications EMNLP 2025 Dissecting Generalized Category Discovery: Multiplex Consensus under Self-Deconstruction ICCV 2025 Distilled Prompt Learning for Incomplete Multimodal Survival Prediction CVPR 2025 Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection WACV 2025