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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)

An Image is Worth Multiple Words: Multi-Attribute Inversion for Constrained Text-to-Image Synthesis WACV 2025 Animate and Sound an Image CVPR 2025 AnimateAnything: Consistent and Controllable Animation for Video Generation CVPR 2025 AnimeGamer: Infinite Anime Life Simulation with Next Game State Prediction ICCV 2025 An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding AAAI 2025 An Investigative Study on Recent Sharpness- and Flatness-Based Optimizers for Enhanced Self-Supervised Speaker Verification Interspeech 2025 AniSan@NLU of Devanagari Script Languages 2025: Optimizing Language Identification with Ensemble Learning COLING 2025 Annif at SemEval-2025 Task 5: Traditional XMTC augmented by LLMs SemEval 2025 AnnofreeOD: Detecting All Classes at Low Frame Rates Without Human Annotations ICCV 2025 Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation CVPR 2025 Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts EMNLP 2025 Anomalous Sound Detection Based Feature Fusion and Dual-path Non-linear Independent Components Estimation Interspeech 2025 Anomize: Better Open Vocabulary Video Anomaly Detection CVPR 2025 An Open-Ended Learning Framework for Opponent Modeling AAAI 2025 Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models AAAI 2025 Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception CVPR 2025 Anti-Tamper Protection for Unauthorized Individual Image Generation ICCV 2025 An Unsupervised Approach for Artifact Severity Scoring in Multi-Contrast MR Images MIDL 2025 Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models CVPR 2025 AnyCam: Learning to Recover Camera Poses and Intrinsics from Casual Videos CVPR 2025 AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models CVPR 2025 Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval ACL 2025 AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction EMNLP 2025 AnyMap: Learning a General Camera Model for Structure-from-Motion with Unknown Distortion in Dynamic Scenes CVPR 2025 AnyMoLe: Any Character Motion In-betweening Leveraging Video Diffusion Models CVPR 2025