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

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Papers (including subtopics)

Weakly Supervised Actor-Action Segmentation via Robust Multi-Task Ranking CVPR 2017 Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection ACL 2017 Weakly Supervised Dense Video Captioning CVPR 2017 Weakly Supervised Semantic Segmentation Using Web-Crawled Videos CVPR 2017 Weakly-Supervised Visual Grounding of Phrases With Linguistic Structures CVPR 2017 Webly Supervised Semantic Segmentation CVPR 2017 What do Neural Machine Translation Models Learn about Morphology? ACL 2017 What Do Recurrent Neural Network Grammars Learn About Syntax? EACL 2017 What's in a Question: Using Visual Questions as a Form of Supervision CVPR 2017 When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size) EMNLP 2017 Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning NeurIPS 2017 Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding EMNLP 2017 Word Re-Embedding via Manifold Dimensionality Retention EMNLP 2017 Working hard to know your neighbor's margins: Local descriptor learning loss NeurIPS 2017 Xception: Deep Learning With Depthwise Separable Convolutions CVPR 2017 YOLO9000: Better, Faster, Stronger CVPR 2017 Zero-Shot Activity Recognition with Verb Attribute Induction EMNLP 2017 Zero-Shot Classification With Discriminative Semantic Representation Learning CVPR 2017 Zero-Shot Learning - the Good, the Bad and the Ugly CVPR 2017 Zero Shot Learning via Multi-Scale Manifold Regularization CVPR 2017 Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths CVPR 2017 Actor-Action Semantic Segmentation With Grouping Process Models CVPR 2016 Adaptation of Neural Networks Constrained by Prior Statistics of Node Co-Activations Interspeech 2016 A Distribution-based Model to Learn Bilingual Word Embeddings COLING 2016 Adversarial Multi-Task Learning of Deep Neural Networks for Robust Speech Recognition Interspeech 2016