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)

Structured Visual Search via Composition-Aware Learning WACV 2021 Student-Teacher Learning From Clean Inputs to Noisy Inputs CVPR 2021 Style-Aware Normalized Loss for Improving Arbitrary Style Transfer CVPR 2021 Style-Based Point Generator With Adversarial Rendering for Point Cloud Completion CVPR 2021 Style Control for Schema-Guided Natural Language Generation EMNLP 2021 StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval CVPR 2021 StyleMix: Separating Content and Style for Enhanced Data Augmentation CVPR 2021 STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech Interspeech 2021 StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation CVPR 2021 Style Transfer by Rigid Alignment in Neural Net Feature Space WACV 2021 Submodular Span, with Applications to Conditional Data Summarization AAAI 2021 Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis AAAI 2021 Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images AAAI 2021 Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension EMNLP 2021 SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning ICML 2021 SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations EMNLP 2021 SUPERB: Speech Processing Universal PERformance Benchmark Interspeech 2021 Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer NeurIPS 2021 SuperMix: Supervising the Mixing Data Augmentation CVPR 2021 Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning ICLR 2021 Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications AAAI 2021 Supervised Tree-Wasserstein Distance ICML 2021 Supervising the Transfer of Reasoning Patterns in VQA NeurIPS 2021 Surface Form Competition: Why the Highest Probability Answer Isn’t Always Right EMNLP 2021 SurfGen: Adversarial 3D Shape Synthesis With Explicit Surface Discriminators ICCV 2021