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)

Bias-tolerant Fair Classification ACML 2021 Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation AAAI 2021 Bidirectional Projection Network for Cross Dimension Scene Understanding CVPR 2021 Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation AAAI 2021 Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search AAAI 2021 Bilingual Alignment Pre-Training for Zero-Shot Cross-Lingual Transfer EMNLP 2021 BinaryBERT: Pushing the Limit of BERT Quantization ACL 2021 Binaural Audio-Visual Localization AAAI 2021 BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models EMNLP 2021 Biomedical Concept Normalization by Leveraging Hypernyms EMNLP 2021 Black-Box Detection of Backdoor Attacks With Limited Information and Data ICCV 2021 Blind Deblurring for Saturated Images CVPR 2021 Blind Pareto Fairness and Subgroup Robustness ICML 2021 Block-wise Word Embedding Compression Revisited: Better Weighting and Structuring EMNLP 2021 Blur, Noise, and Compression Robust Generative Adversarial Networks CVPR 2021 BME Submission for SIGMORPHON 2021 Shared Task 0. A Three Step Training Approach with Data Augmentation for Morphological Inflection ACL 2021 Body2Hands: Learning To Infer 3D Hands From Conversational Gesture Body Dynamics CVPR 2021 Body Meshes as Points CVPR 2021 Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics CVPR 2021 Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging CVPR 2021 Boosting Multi-task Learning Through Combination of Task Labels - with Applications in ECG Phenotyping AAAI 2021 Boosting Offline Reinforcement Learning with Residual Generative Modeling IJCAI 2021 Boosting Video Representation Learning With Multi-Faceted Integration CVPR 2021 Boost Neural Networks by Checkpoints NeurIPS 2021 Bootstrap an End-to-End ASR System by Multilingual Training, Transfer Learning, Text-to-Text Mapping and Synthetic Audio Interspeech 2021