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)

Adversarial Learning of Privacy-Preserving and Task-Oriented Representations AAAI 2020 Adversarial Localized Energy Network for Structured Prediction AAAI 2020 Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models NeurIPS 2020 Adversarially Robust Distillation AAAI 2020 Adversarial Mutual Information Learning for Network Embedding IJCAI 2020 AdversarialNAS: Adversarial Neural Architecture Search for GANs CVPR 2020 Adversarial NLI: A New Benchmark for Natural Language Understanding ACL 2020 Adversarial Oracular Seq2seq Learning for Sequential Recommendation IJCAI 2020 Adversarial Robustness Against the Union of Multiple Perturbation Models ICML 2020 Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning CVPR 2020 Adversarial robustness via robust low rank representations NeurIPS 2020 Adversarial Robustness via Runtime Masking and Cleansing ICML 2020 Adversarial Self-Supervised Data-Free Distillation for Text Classification EMNLP 2020 Adversarial Semantic Collisions EMNLP 2020 Adversarial Separation Network for Speaker Recognition Interspeech 2020 Adversarial Sparse Transformer for Time Series Forecasting NeurIPS 2020 Adversarial Texture Optimization From RGB-D Scans CVPR 2020 Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis AAAI 2020 Adversarial Training for Code Retrieval with Question-Description Relevance Regularization EMNLP 2020 Adversarial Training is a Form of Data-dependent Operator Norm Regularization NeurIPS 2020 Adversarial Transformations for Semi-Supervised Learning AAAI 2020 Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks AAAI 2020 Affective Event Classification with Discourse-enhanced Self-training EMNLP 2020 Affinity Graph Supervision for Visual Recognition CVPR 2020 A General Approach to Fairness with Optimal Transport AAAI 2020