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)

Probing Neural Network Comprehension of Natural Language Arguments ACL 2019 Probing Word and Sentence Embeddings for Long-distance Dependencies Effects in French and English ACL 2019 Progressive Feature Alignment for Unsupervised Domain Adaptation CVPR 2019 Progressive Teacher-Student Learning for Early Action Prediction CVPR 2019 PROMT Systems for WMT 2019 Shared Translation Task ACL 2019 Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses IJCAI 2019 Provable Non-linear Inductive Matrix Completion NeurIPS 2019 Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers NeurIPS 2019 Pun-GAN: Generative Adversarial Network for Pun Generation EMNLP 2019 Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering CVPR 2019 Pushing the Limits of Low-Resource Morphological Inflection EMNLP 2019 PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation CVPR 2019 PVRNet: Point-View Relation Neural Network for 3D Shape Recognition AAAI 2019 Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training CVPR 2019 QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization EMNLP 2019 QE BERT: Bilingual BERT Using Multi-task Learning for Neural Quality Estimation ACL 2019 Quality Aware Generative Adversarial Networks NeurIPS 2019 Quality Estimation and Translation Metrics via Pre-trained Word and Sentence Embeddings ACL 2019 Quantifying Similarity between Relations with Fact Distribution ACL 2019 Quantifying Uncertainties in Natural Language Processing Tasks AAAI 2019 Quantity doesn’t buy quality syntax with neural language models EMNLP 2019 Query-Guided End-To-End Person Search CVPR 2019 Querying NoSQL with Deep Learning to Answer Natural Language Questions AAAI 2019 Question-type Driven Question Generation EMNLP 2019 QUOTA: The Quantile Option Architecture for Reinforcement Learning AAAI 2019