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)

Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances AAAI 2021 Generalized Adversarially Learned Inference AAAI 2021 Generalized Dilated CNN Models for Depression Detection Using Inverted Vocal Tract Variables Interspeech 2021 Generalized Domain Adaptation CVPR 2021 Generalized Energy Based Models ICLR 2021 Generalized Few-Shot Object Detection Without Forgetting CVPR 2021 Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection CVPR 2021 Generalized Zero-Shot Learning via Disentangled Representation AAAI 2021 Generalizing to the Open World: Deep Visual Odometry With Online Adaptation CVPR 2021 General Multi-Label Image Classification With Transformers CVPR 2021 Generate & Rank: A Multi-task Framework for Math Word Problems EMNLP 2021 Generating Datasets with Pretrained Language Models EMNLP 2021 Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation AAAI 2021 Generating Mammography Reports from Multi-view Mammograms with BERT EMNLP 2021 Generating Manga From Illustrations via Mimicking Manga Creation Workflow CVPR 2021 Generating Natural Language Attacks in a Hard Label Black Box Setting AAAI 2021 Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques ACL 2021 Generation-Augmented Retrieval for Open-Domain Question Answering ACL 2021 Generative Context Pair Selection for Multi-hop Question Answering EMNLP 2021 Generative Hierarchical Features From Synthesizing Images CVPR 2021 Generative Interventions for Causal Learning CVPR 2021 Generative Partial Visual-Tactile Fused Object Clustering AAAI 2021 Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification CVPR 2021 Generative Semi-supervised Learning for Multivariate Time Series Imputation AAAI 2021 Generic Perceptual Loss for Modeling Structured Output Dependencies CVPR 2021