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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding ACL 2023 Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization ICML 2023 Open-Vocabulary Attribute Detection CVPR 2023 Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer AAAI 2023 Open-Vocabulary Point-Cloud Object Detection Without 3D Annotation CVPR 2023 Open Vocabulary Semantic Segmentation With Patch Aligned Contrastive Learning CVPR 2023 Optimal Proposal Learning for Deployable End-to-End Pedestrian Detection CVPR 2023 Optimal Transport Model Distributional Robustness NeurIPS 2023 Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning ICLR 2023 Optimizing Retrieval-augmented Reader Models via Token Elimination EMNLP 2023 Optimizing Test-Time Query Representations for Dense Retrieval ACL 2023 OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models ACL 2023 Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection AAAI 2023 Orthogonal Annotation Benefits Barely-Supervised Medical Image Segmentation CVPR 2023 Orthogonal Subspace Learning for Language Model Continual Learning EMNLP 2023 OSRT: Omnidirectional Image Super-Resolution With Distortion-Aware Transformer CVPR 2023 OTAvatar: One-Shot Talking Face Avatar With Controllable Tri-Plane Rendering CVPR 2023 OTF: Optimal Transport based Fusion of Supervised and Self-Supervised Learning Models for Automatic Speech Recognition Interspeech 2023 Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation ICLR 2023 Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning CVPR 2023 Out-of-Distribution Detection for Monocular Depth Estimation ICCV 2023 Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future EMNLP 2023 Overcoming catastrophic forgetting with classifier expander ACML 2023 Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions AAAI 2023 Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation NeurIPS 2023