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)

Budgeted Policy Learning for Task-Oriented Dialogue Systems ACL 2019 Calibrating Deep Convolutional Gaussian Processes AISTATS 2019 CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth CVPR 2019 Camera Lens Super-Resolution CVPR 2019 CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis EMNLP 2019 CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning CVPR 2019 Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies? IJCAI 2019 Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling ACL 2019 CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision AAAI 2019 CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection CVPR 2019 Capsule Networks Need an Improved Routing Algorithm ACML 2019 Capture, Learning, and Synthesis of 3D Speaking Styles CVPR 2019 Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms CVPR 2019 Cascaded Partial Decoder for Fast and Accurate Salient Object Detection CVPR 2019 Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks CVPR 2019 Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts ACL 2019 Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation NeurIPS 2019 CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model ICLR 2019 Celebrity Profiling ACL 2019 Certified Adversarial Robustness for Deep Reinforcement Learning CoRL 2019 Certified Robustness to Adversarial Word Substitutions EMNLP 2019 ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation CVPR 2019 Characterizing and Avoiding Negative Transfer CVPR 2019 Character Region Awareness for Text Detection CVPR 2019 Charge-Based Prison Term Prediction with Deep Gating Network EMNLP 2019