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)

Robustness of 3D Deep Learning in an Adversarial Setting CVPR 2019 Robustness to Capitalization Errors in Named Entity Recognition EMNLP 2019 Robustness via Curvature Regularization, and Vice Versa CVPR 2019 Robust Neural Machine Translation with Doubly Adversarial Inputs ACL 2019 Robust Neural Machine Translation with Joint Textual and Phonetic Embedding ACL 2019 Robust Representation Learning of Biomedical Names ACL 2019 Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances CoRL 2019 ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape CVPR 2019 ROI Pooled Correlation Filters for Visual Tracking CVPR 2019 RUBi: Reducing Unimodal Biases for Visual Question Answering NeurIPS 2019 RUDDER: Return Decomposition for Delayed Rewards NeurIPS 2019 Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored Environments IJCAI 2019 SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines CVPR 2019 Salient Speech Representations Based on Cloned Networks Interspeech 2019 SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next AAAI 2019 Sample-Efficient Imitation Learning via Generative Adversarial Nets AISTATS 2019 Sampling Bias in Deep Active Classification: An Empirical Study EMNLP 2019 Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects CVPR 2019 Sarah’s Participation in WAT 2019 EMNLP 2019 Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation EMNLP 2019 Scalable Convolutional Neural Network for Image Compressed Sensing CVPR 2019 Scalable Recollections for Continual Lifelong Learning AAAI 2019 Scalable Syntax-Aware Language Models Using Knowledge Distillation ACL 2019 Scan2CAD: Learning CAD Model Alignment in RGB-D Scans CVPR 2019 Scene Categorization From Contours: Medial Axis Based Salience Measures CVPR 2019