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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)

Teddysum at MEDIQA-Chat 2023: an analysis of fine-tuning strategy for long dialog summarization ACL 2023 Tell Me What Happened: Unifying Text-Guided Video Completion via Multimodal Masked Video Generation CVPR 2023 TemplateGEC: Improving Grammatical Error Correction with Detection Template ACL 2023 Temporal Coherent Test Time Optimization for Robust Video Classification ICLR 2023 Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving CVPR 2023 Temporal-Frequency Co-training for Time Series Semi-supervised Learning AAAI 2023 Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning EMNLP 2023 Temporal Knowledge Graph Reasoning with Historical Contrastive Learning AAAI 2023 Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration IJCAI 2023 Temporal RPN Learning for Weakly-Supervised Temporal Action Localization ACML 2023 TempSAL - Uncovering Temporal Information for Deep Saliency Prediction CVPR 2023 TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities ACL 2023 TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation CVPR 2023 TeSTNeRF: Text-Driven 3D Style Transfer via Cross-Modal Learning IJCAI 2023 TeST: Test-Time Self-Training Under Distribution Shift WACV 2023 Test Time Adaptation With Regularized Loss for Weakly Supervised Salient Object Detection CVPR 2023 Test-time Adaptation with Slot-Centric Models ICML 2023 Test-Time Distribution Normalization for Contrastively Learned Visual-language Models NeurIPS 2023 Test-Time Self-Adaptive Small Language Models for Question Answering EMNLP 2023 TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation CVPR 2023 Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification EMNLP 2023 Text Adversarial Purification as Defense against Adversarial Attacks ACL 2023 Text Augmentation Using Dataset Reconstruction for Low-Resource Classification ACL 2023 Text encoders bottleneck compositionality in contrastive vision-language models EMNLP 2023 Text-guided 3D Human Generation from 2D Collections EMNLP 2023