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 and Evaluating a Differentially Private Pre-trained Language Model EMNLP 2021 Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues AAAI 2021 Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise CVPR 2021 Learning a Self-Expressive Network for Subspace Clustering CVPR 2021 Learning Asynchronous and Sparse Human-Object Interaction in Videos CVPR 2021 Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations NeurIPS 2021 Learning-Based Image Registration With Meta-Regularization CVPR 2021 Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing ICLR 2021 Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding ICCV 2021 Learning Better Visual Dialog Agents With Pretrained Visual-Linguistic Representation CVPR 2021 Learning Bill Similarity with Annotated and Augmented Corpora of Bills EMNLP 2021 Learning by Aligning Videos in Time CVPR 2021 Learning by Planning: Language-Guided Global Image Editing CVPR 2021 Learning by Watching CVPR 2021 Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling CVPR 2021 Learning Compositional Representation for 4D Captures With Neural ODE CVPR 2021 Learning Comprehensive Motion Representation for Action Recognition AAAI 2021 Learning Cross-Modal Retrieval With Noisy Labels CVPR 2021 Learning Cross-Task Attribute - Attribute Similarity for Multi-task Attribute-Value Extraction ACL 2021 Learning Data Augmentation Schedules for Natural Language Processing EMNLP 2021 Learning Debiased Representation via Disentangled Feature Augmentation NeurIPS 2021 Learning Decision Trees Recurrently Through Communication CVPR 2021 Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection CVPR 2021 Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space IJCAI 2021 Learning Deep Neural Networks under Agnostic Corrupted Supervision ICML 2021