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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)

Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks CVPR 2025 Decoupled Finetuning for Domain Generalizable Semantic Segmentation ICLR 2025 Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking AAAI 2025 Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning CVPR 2025 Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness IJCAI 2025 Decoupling Appearance Variations with 3D Consistent Features in Gaussian Splatting AAAI 2025 Decoupling Training-Free Guided Diffusion by ADMM CVPR 2025 Deduce and Select Evidences with Language Models for Training-Free Video Goal Inference WACV 2025 Deep at SemEval-2025 Task 11: A Multi-Stage Approach to Emotion Detection SemEval 2025 Deep Clustering via Probabilistic Ratio-Cut Optimization AISTATS 2025 Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval AAAI 2025 Deep Fair Multi-View Clustering with Attention KAN CVPR 2025 Deep Fuzzy Multi-view Learning for Reliable Classification ICML 2025 Deep Generative Quantile Bayes AISTATS 2025 Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases AAAI 2025 Deep Hypergraph Neural Networks with Tight Framelets AAAI 2025 Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings AAAI 2025 Deep Metric Learning for Unsupervised Remote Sensing Change Detection WACV 2025 DeepMIM: Deep Supervision for Masked Image Modeling WACV 2025 Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling AAAI 2025 Deep Optimal Sensor Placement for Black Box Stochastic Simulations AISTATS 2025 Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction ICML 2025 Deep Reinforcement Learning with Time-Scale Invariant Memory AAAI 2025 Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks AAAI 2025 DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process ACL 2025