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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Papers (including subtopics)

Cataloging Public Objects Using Aerial and Street-Level Images - Urban Trees CVPR 2016 CharNER: Character-Level Named Entity Recognition COLING 2016 CliqueCNN: Deep Unsupervised Exemplar Learning NeurIPS 2016 CNN-RNN: A Unified Framework for Multi-Label Image Classification CVPR 2016 Collaborative Quantization for Cross-Modal Similarity Search CVPR 2016 Collaborative Recurrent Neural Networks for Dynamic Recommender Systems ACML 2016 Combinatorial Energy Learning for Image Segmentation NeurIPS 2016 Combining Non-Pathological Data of Different Language Varieties to Improve DNN-HMM Performance on Pathological Speech Interspeech 2016 Compact Bilinear Pooling CVPR 2016 Comparative Deep Learning of Hybrid Representations for Image Recommendations CVPR 2016 Complex Linear Projection (CLP): A Discriminative Approach to Joint Feature Extraction and Acoustic Modeling Interspeech 2016 Conditional Generative Moment-Matching Networks NeurIPS 2016 Consensus Attention-based Neural Networks for Chinese Reading Comprehension COLING 2016 Constrained Deep Transfer Feature Learning and Its Applications CVPR 2016 Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection CVPR 2016 Context Encoders: Feature Learning by Inpainting CVPR 2016 Convolutional Neural Networks with Data Augmentation for Classifying Speakers’ Native Language Interspeech 2016 Coping with Unseen Data Conditions: Investigating Neural Net Architectures, Robust Features, and Information Fusion for Robust Speech Recognition Interspeech 2016 Coupled Generative Adversarial Networks NeurIPS 2016 Couples Behavior Modeling and Annotation Using Low-Resource LSTM Language Models Interspeech 2016 Cross Modal Distillation for Supervision Transfer CVPR 2016 Cross-Stitch Networks for Multi-Task Learning CVPR 2016 D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images CVPR 2016 Data Augmentation Using Multi-Input Multi-Output Source Separation for Deep Neural Network Based Acoustic Modeling Interspeech 2016 DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation CVPR 2016