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

'25

Papers (including subtopics)

Unsupervised Deep Shape Descriptor With Point Distribution Learning CVPR 2020 Unsupervised Distillation of Syntactic Information from Contextualized Word Representations EMNLP 2020 Unsupervised Domain Adaptation on Reading Comprehension AAAI 2020 Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment AAAI 2020 Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering CVPR 2020 Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling AAAI 2020 Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization CVPR 2020 Unsupervised Domain Clusters in Pretrained Language Models ACL 2020 Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing ACL 2020 Unsupervised Evaluation for Question Answering with Transformers EMNLP 2020 Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers EMNLP 2020 Unsupervised FAQ Retrieval with Question Generation and BERT ACL 2020 Unsupervised Feature Adaptation Using Adversarial Multi-Task Training for Automatic Evaluation of Children’s Speech Interspeech 2020 Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting CVPR 2020 Unsupervised Interlingual Semantic Representations from Sentence Embeddings for Zero-Shot Cross-Lingual Transfer AAAI 2020 Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision CVPR 2020 Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models NeurIPS 2020 Unsupervised Keyword Extraction for Full-Sentence VQA EMNLP 2020 Unsupervised Learning for Intrinsic Image Decomposition From a Single Image CVPR 2020 Unsupervised Learning for Sequence-to-Sequence Text-to-Speech for Low-Resource Languages Interspeech 2020 Unsupervised Learning From Video With Deep Neural Embeddings CVPR 2020 Unsupervised Learning of Camera Pose with Compositional Re-estimation WACV 2020 Unsupervised Learning of Dense Visual Representations NeurIPS 2020 Unsupervised Learning of Intrinsic Structural Representation Points CVPR 2020 Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control NeurIPS 2020