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)

RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features CVPR 2021 Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation CVPR 2021 REFINE: Prediction Fusion Network for Panoptic Segmentation AAAI 2021 Refining BERT Embeddings for Document Hashing via Mutual Information Maximization EMNLP 2021 Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models ACL 2021 Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding AAAI 2021 ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models EMNLP 2021 Region-aware Global Context Modeling for Automatic Nerve Segmentation from Ultrasound Images AAAI 2021 Region under Discussion for visual dialog EMNLP 2021 Regressive Domain Adaptation for Unsupervised Keypoint Detection CVPR 2021 Regret Minimization Experience Replay in Off-Policy Reinforcement Learning NeurIPS 2021 Regularization Strategy for Point Cloud via Rigidly Mixed Sample CVPR 2021 Regularized Mutual Learning for Personalized Federated Learning ACML 2021 Regularizing Generative Adversarial Networks Under Limited Data CVPR 2021 Regularizing Neural Networks via Adversarial Model Perturbation CVPR 2021 Reinforced Attention for Few-Shot Learning and Beyond CVPR 2021 Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification EMNLP 2021 Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective AAAI 2021 Reinforced Multi-Teacher Selection for Knowledge Distillation AAAI 2021 Reinforcement Based Learning on Classification Task Yields Better Generalization and Adversarial Accuracy (Student Abstract) AAAI 2021 Reinforcement Learning Enhanced Explainer for Graph Neural Networks NeurIPS 2021 Reinforcement learning for optimization of variational quantum circuit architectures NeurIPS 2021 Reinforcement Learning with Latent Flow NeurIPS 2021 Reinforcement Learning with Prototypical Representations ICML 2021 Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation ACL 2021