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)

Dissecting Person Re-Identification From the Viewpoint of Viewpoint CVPR 2019 DisSent: Learning Sentence Representations from Explicit Discourse Relations ACL 2019 Dissimilarity Coefficient Based Weakly Supervised Object Detection CVPR 2019 Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding AAAI 2019 Distilled Person Re-Identification: Towards a More Scalable System CVPR 2019 DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs CVPR 2019 Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning ACL 2019 Distilling Object Detectors With Fine-Grained Feature Imitation CVPR 2019 Distilling Policy Distillation AISTATS 2019 Distilling Translations with Visual Awareness ACL 2019 Distraction-Aware Shadow Detection CVPR 2019 Distributionally Adversarial Attack AAAI 2019 Distributional Policy Optimization: An Alternative Approach for Continuous Control NeurIPS 2019 Distributional Reward Decomposition for Reinforcement Learning NeurIPS 2019 Distributional Semantics Meets Multi-Label Learning AAAI 2019 Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning AAAI 2019 Divergence-Augmented Policy Optimization NeurIPS 2019 Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model CVPR 2019 Diverse Exploration via Conjugate Policies for Policy Gradient Methods AAAI 2019 Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection CVPR 2019 Diversity-Driven Extensible Hierarchical Reinforcement Learning AAAI 2019 Divide and Conquer the Embedding Space for Metric Learning CVPR 2019 DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning EMNLP 2019 DIViS: Domain Invariant Visual Servoing for Collision-Free Goal Reaching RSS 2019 DLOW: Domain Flow for Adaptation and Generalization CVPR 2019