conftrace_

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

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

'10

'15

'20

'25

Papers (including subtopics)

Learning to Receive Help: Intervention-Aware Concept Embedding Models NeurIPS 2023 Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation CVPR 2023 Learning To Segment Every Referring Object Point by Point CVPR 2023 Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling AAAI 2023 Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike Camera AAAI 2023 Learning towards Selective Data Augmentation for Dialogue Generation AAAI 2023 Learning Transferable Spatiotemporal Representations From Natural Script Knowledge CVPR 2023 Learning Transformation-Predictive Representations for Detection and Description of Local Features CVPR 2023 Learning Unnormalized Statistical Models via Compositional Optimization ICML 2023 Learning useful representations for shifting tasks and distributions ICML 2023 Learning Visual Representations via Language-Guided Sampling CVPR 2023 Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions CVPR 2023 Learning with Explanation Constraints NeurIPS 2023 Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking CVPR 2023 Learning with Partial Forgetting in Modern Hopfield Networks AISTATS 2023 Learning with Partial Labels from Semi-supervised Perspective AAAI 2023 Learn More for Food Recognition via Progressive Self-Distillation AAAI 2023 Learn TAROT with MENTOR: A Meta-Learned Self-Supervised Approach for Trajectory Prediction ICCV 2023 Least-to-Most Prompting Enables Complex Reasoning in Large Language Models ICLR 2023 Legend at ArAIEval Shared Task: Persuasion Technique Detection using a Language-Agnostic Text Representation Model EMNLP 2023 Lego-MT: Learning Detachable Models for Massively Multilingual Machine Translation ACL 2023 Length is a Curse and a Blessing for Document-level Semantics EMNLP 2023 Lens Parameter Estimation for Realistic Depth of Field Modeling ICCV 2023 Less Is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation CVPR 2023 Less is More: Task-aware Layer-wise Distillation for Language Model Compression ICML 2023