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 Ask Conversational Questions by Optimizing Levenshtein Distance ACL 2021 Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning AAAI 2021 Learning to Augment for Data-scarce Domain BERT Knowledge Distillation AAAI 2021 Learning To Diversify for Single Domain Generalization ICCV 2021 Learning to Enhance Visual Quality via Hyperspectral Domain Mapping (Student Abstract) AAAI 2021 Learning to Explain: Generating Stable Explanations Fast ACL 2021 Learning To Filter: Siamese Relation Network for Robust Tracking CVPR 2021 Learning to Generate Dense Point Clouds With Textures on Multiple Categories WACV 2021 Learning to Generate Noise for Multi-Attack Robustness ICML 2021 Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training NeurIPS 2021 Learning to Generate Task-Specific Adapters from Task Description ACL 2021 Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision ICCV 2021 Learning to Predict Trustworthiness with Steep Slope Loss NeurIPS 2021 Learning To Predict Visual Attributes in the Wild CVPR 2021 Learning to Purify Noisy Labels via Meta Soft Label Corrector AAAI 2021 Learning to Rank in the Age of Muppets: Effectiveness–Efficiency Tradeoffs in Multi-Stage Ranking EMNLP 2021 Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation EMNLP 2021 Learning to Recombine and Resample Data For Compositional Generalization ICLR 2021 Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild CVPR 2021 Learning To Recover 3D Scene Shape From a Single Image CVPR 2021 Learning To Regress Bodies From Images Using Differentiable Semantic Rendering ICCV 2021 Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation CVPR 2021 Learning To Restore Hazy Video: A New Real-World Dataset and a New Method CVPR 2021 Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning AAAI 2021 Learning to Rewrite for Non-Autoregressive Neural Machine Translation EMNLP 2021