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)

Learning Discriminative Prototypes With Dynamic Time Warping CVPR 2021 Learning Disentangled Behavior Embeddings NeurIPS 2021 Learning Diverse Policies in MOBA Games via Macro-Goals NeurIPS 2021 Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ACL 2021 Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning CVPR 2021 Learning Fine-Grained Cross Modality Excitement for Speech Emotion Recognition Interspeech 2021 Learning from Crowds by Modeling Common Confusions AAAI 2021 Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering NeurIPS 2021 Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework EMNLP 2021 Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding EMNLP 2021 Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks AAAI 2021 Learning from Nested Data with Ornstein Auto-Encoders ICML 2021 Learning from Noisy Labels with Complementary Loss Functions AAAI 2021 Learning from others' mistakes: Avoiding dataset biases without modeling them ICLR 2021 Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training ACL 2021 Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration AAAI 2021 Learning From the Master: Distilling Cross-Modal Advanced Knowledge for Lip Reading CVPR 2021 Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection ACL 2021 Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers AAAI 2021 Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning AAAI 2021 Learning Goals From Failure CVPR 2021 Learning Graph Cellular Automata NeurIPS 2021 Learning Graph Embeddings for Compositional Zero-Shot Learning CVPR 2021 Learning Graphs for Knowledge Transfer With Limited Labels CVPR 2021 Learning grounded word meaning representations on similarity graphs EMNLP 2021