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

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'20

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Papers (including subtopics)

Self-Attention Network for Skeleton-based Human Action Recognition WACV 2020 Self-Attention with Cross-Lingual Position Representation ACL 2020 Self-Attentive Associative Memory ICML 2020 Self-Attentive Hawkes Process ICML 2020 Self-Distillation for Improving CTC-Transformer-Based ASR Systems Interspeech 2020 Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence CVPR 2020 SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction EMNLP 2020 Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID NeurIPS 2020 Self-Robust 3D Point Recognition via Gather-Vector Guidance CVPR 2020 Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis CVPR 2020 Self-supervised context-aware COVID-19 document exploration through atlas grounding ACL 2020 Self-supervised Co-Training for Video Representation Learning NeurIPS 2020 Self-Supervised Deep Visual Odometry With Online Adaptation CVPR 2020 Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation CVPR 2020 Self-Supervised Few-Shot Learning on Point Clouds NeurIPS 2020 Self-Supervised Graph Transformer on Large-Scale Molecular Data NeurIPS 2020 Self-Supervised Human Depth Estimation From Monocular Videos CVPR 2020 Self-supervised Label Augmentation via Input Transformations ICML 2020 Self-Supervised Learning by Cross-Modal Audio-Video Clustering NeurIPS 2020 Self-Supervised Learning for Generalizable Out-of-Distribution Detection AAAI 2020 Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos CVPR 2020 Self-Supervised Learning of Pretext-Invariant Representations CVPR 2020 Self-Supervised Learning of Video-Induced Visual Invariances CVPR 2020 Self-Supervised Monocular Scene Flow Estimation CVPR 2020 Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume CVPR 2020