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

'15

'20

'25

Papers (including subtopics)

The Role of Linguistic and Prosodic Cues on the Prediction of Self-Reported Satisfaction in Contact Centre Phone Calls Interspeech 2017 The strange geometry of skip-gram with negative sampling EMNLP 2017 Thinking Fast and Slow with Deep Learning and Tree Search NeurIPS 2017 Tied Hidden Factors in Neural Networks for End-to-End Speaker Recognition Interspeech 2017 To Improve the Robustness of LSTM-RNN Acoustic Models Using Higher-Order Feedback from Multiple Histories Interspeech 2017 Top-Down Visual Saliency Guided by Captions CVPR 2017 Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks NeurIPS 2017 Towards Generalization and Simplicity in Continuous Control NeurIPS 2017 Towards Neural Machine Translation with Partially Aligned Corpora IJCNLP 2017 Training Group Orthogonal Neural Networks with Privileged Information IJCAI 2017 Transfer Learning and Distillation Techniques to Improve the Acoustic Modeling of Low Resource Languages Interspeech 2017 Translating Neuralese ACL 2017 Triangle Generative Adversarial Networks NeurIPS 2017 Triple Generative Adversarial Nets NeurIPS 2017 TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension ACL 2017 Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning ACL 2017 Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension EMNLP 2017 Ubernet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory CVPR 2017 Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning CoRL 2017 Understanding Traffic Density From Large-Scale Web Camera Data CVPR 2017 Unfolding and Shrinking Neural Machine Translation Ensembles EMNLP 2017 Unite the People: Closing the Loop Between 3D and 2D Human Representations CVPR 2017 Universal Style Transfer via Feature Transforms NeurIPS 2017 Unsupervised Learning of Deep Feature Representation for Clustering Egocentric Actions IJCAI 2017 Unsupervised Learning of Depth and Ego-Motion From Video CVPR 2017