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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)

Universal Semantic Disentangled Privacy-preserving Speech Representation Learning Interspeech 2025 Universal Speech Enhancement with Regression and Generative Mamba Interspeech 2025 Uni-VERSA: Versatile Speech Assessment with a Unified Network Interspeech 2025 University of Indonesia at SemEval-2025 Task 11: Evaluating State-of-the-Art Encoders for Multi-Label Emotion Detection SemEval 2025 Unknown Text Learning for CLIP-based Few-Shot Open-set Recognition ICCV 2025 Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation ACL 2025 Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient AAAI 2025 Unlearning LLM-Based Speech Recognition Models Interspeech 2025 Unleashing Potentials of Vision-Language Models for Zero-Shot HOI Detection WACV 2025 Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation CVPR 2025 Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers AAAI 2025 Unleashing the Potential of Model Bias for Generalized Category Discovery AAAI 2025 Unleashing the Power of Visual Foundation Models for Generalizable Semantic Segmentation AAAI 2025 Unlocking Generalization Power in LiDAR Point Cloud Registration CVPR 2025 Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting AAAI 2025 Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective ICML 2025 Unlocking the Power of SAM 2 for Few-Shot Segmentation ICML 2025 Unmasking real-world audio deepfakes: A data-centric approach Interspeech 2025 unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning ICML 2025 Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging ACL 2025 Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization CVPR 2025 Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning ACL 2025 Unstructured Evidence Attribution for Long Context Query Focused Summarization EMNLP 2025 Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation AAAI 2025 Unsupervised Audio-Visual Segmentation with Modality Alignment AAAI 2025