Skip to content
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

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Panoptic Segmentation Forecasting CVPR 2021 Papago’s Submission for the WMT21 Quality Estimation Shared Task EMNLP 2021 Papago’s Submissions to the WMT21 Triangular Translation Task EMNLP 2021 Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics ICML 2021 Parameter-Efficient Domain Knowledge Integration from Multiple Sources for Biomedical Pre-trained Language Models EMNLP 2021 Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks ACL 2021 Parameter-Efficient Transfer Learning with Diff Pruning ACL 2021 Paraphrase Generation: A Survey of the State of the Art EMNLP 2021 Pareidolia Face Reenactment CVPR 2021 Pareto Domain Adaptation NeurIPS 2021 Pareto Self-Supervised Training for Few-Shot Learning CVPR 2021 PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition NeurIPS 2021 Parser-Free Virtual Try-On via Distilling Appearance Flows CVPR 2021 ParsTwiNER: A Corpus for Named Entity Recognition at Informal Persian EMNLP 2021 Partial Feature Selection and Alignment for Multi-Source Domain Adaptation CVPR 2021 PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization NeurIPS 2021 Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning AAAI 2021 Partial-Label and Structure-constrained Deep Coupled Factorization Network AAAI 2021 Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss CVPR 2021 Partial Person Re-Identification With Part-Part Correspondence Learning CVPR 2021 Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning MIDL 2021 Particle Cloud Generation with Message Passing Generative Adversarial Networks NeurIPS 2021 Partition and Code: learning how to compress graphs NeurIPS 2021 Partition-Guided GANs CVPR 2021 PASS: Perturb-and-Select Summarizer for Product Reviews ACL 2021