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

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Papers (including subtopics)

Recursive autonomy identification-based learning of augmented naive Bayes classifiers PGM 2022 RecursiveMix: Mixed Learning with History NeurIPS 2022 Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation ACL 2022 Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay (Student Abstract) AAAI 2022 Reducing Flipping Errors in Deep Neural Networks AAAI 2022 Redundancy-Free Message Passing for Graph Neural Networks NeurIPS 2022 Redundant representations help generalization in wide neural networks NeurIPS 2022 Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation EMNLP 2022 Reference-Based Speech Enhancement via Feature Alignment and Fusion Network AAAI 2022 Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation AAAI 2022 RefineGAN: Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responses Interspeech 2022 Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Translation Model NeurIPS 2022 Reflection and Rotation Symmetry Detection via Equivariant Learning CVPR 2022 ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery AAAI 2022 Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation CVPR 2022 RegionCLIP: Region-Based Language-Image Pretraining CVPR 2022 Region-dependent temperature scaling for certainty calibration and application to class-imbalanced token classification ACL 2022 Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning ICML 2022 Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement AAAI 2022 Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations AAAI 2022 Reinforced Cross-modal Alignment for Radiology Report Generation ACL 2022 Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting AAAI 2022 Reinforcement Learning with Neural Radiance Fields NeurIPS 2022 Relational Proxies: Emergent Relationships as Fine-Grained Discriminators NeurIPS 2022 Relational Surrogate Loss Learning ICLR 2022