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)

Understanding Knowledge Distillation in Non-autoregressive Machine Translation ICLR 2020 Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning EMNLP 2020 Understanding the Role of Training Regimes in Continual Learning NeurIPS 2020 Unfolding the Alternating Optimization for Blind Super Resolution NeurIPS 2020 Unified Dynamic Convolutional Network for Super-Resolution With Variational Degradations CVPR 2020 Unified Feature and Instance Based Domain Adaptation for Aspect-Based Sentiment Analysis EMNLP 2020 Unified Vision-Language Pre-Training for Image Captioning and VQA AAAI 2020 Unifying Training and Inference for Panoptic Segmentation CVPR 2020 Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings CVPR 2020 Unity Style Transfer for Person Re-Identification CVPR 2020 Universal Adversarial Training AAAI 2020 Universal Domain Adaptation through Self Supervision NeurIPS 2020 Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs CVPR 2020 Universal Source-Free Domain Adaptation CVPR 2020 Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 2020 Universal Weighting Metric Learning for Cross-Modal Matching CVPR 2020 Unpaired Image Super-Resolution Using Pseudo-Supervision CVPR 2020 Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping CVPR 2020 Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution CVPR 2020 Unsupervised Adaptation of Question Answering Systems via Generative Self-training EMNLP 2020 Unsupervised Anomaly Detection in Parole Hearings using Language Models EMNLP 2020 Unsupervised Attributed Multiplex Network Embedding AAAI 2020 Unsupervised Cross-lingual Representation Learning at Scale ACL 2020 Unsupervised Data Augmentation for Consistency Training NeurIPS 2020 Unsupervised Deep Learning via Affinity Diffusion AAAI 2020