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 Restore Low-Light Images via Decomposition-and-Enhancement CVPR 2020 Learning to See Through Obstructions CVPR 2020 Learning to Segment Actions from Observation and Narration ACL 2020 Learning to Segment the Tail CVPR 2020 Learning to Select Base Classes for Few-Shot Classification CVPR 2020 Learning to Structure an Image With Few Colors CVPR 2020 Learning to Super Resolve Intensity Images From Events CVPR 2020 Learning to Transfer Texture From Clothing Images to 3D Humans CVPR 2020 Learning to Transfer: Unsupervised Domain Translation via Meta-Learning AAAI 2020 Learning Transferable Adversarial Examples via Ghost Networks AAAI 2020 Learning Unseen Concepts via Hierarchical Decomposition and Composition CVPR 2020 Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image CVPR 2020 Learning User Representations for Open Vocabulary Image Hashtag Prediction CVPR 2020 Learning Video Object Segmentation From Unlabeled Videos CVPR 2020 Learning Visual Emotion Representations From Web Data CVPR 2020 Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays EMNLP 2020 Learning When and Where to Zoom With Deep Reinforcement Learning CVPR 2020 Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually) EMNLP 2020 Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition CVPR 2020 Length- and Noise-Aware Training Techniques for Short-Utterance Speaker Recognition Interspeech 2020 Let Me Choose: From Verbal Context to Font Selection ACL 2020 Leveraging BERT with Mixup for Sentence Classification (Student Abstract) AAAI 2020 Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation ACL 2020 Leveraging Multimodal Behavioral Analytics for Automated Job Interview Performance Assessment and Feedback ACL 2020 Leveraging Multi-View Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation AAAI 2020