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)

FAIRER: Fairness as Decision Rationale Alignment ICML 2023 Fair Generative Models via Transfer Learning AAAI 2023 Fairness-guided Few-shot Prompting for Large Language Models NeurIPS 2023 Fair Representation Learning for Recommendation: A Mutual Information Perspective AAAI 2023 Fair Representation Learning with Unreliable Labels AISTATS 2023 Fair Text Classification with Wasserstein Independence EMNLP 2023 Faithful Heteroscedastic Regression with Neural Networks AISTATS 2023 FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms AAAI 2023 FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices EMNLP 2023 FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks CVPR 2023 Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts CVPR 2023 FashionSAP: Symbols and Attributes Prompt for Fine-Grained Fashion Vision-Language Pre-Training CVPR 2023 Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping AAAI 2023 Fast and Accurate Factual Inconsistency Detection Over Long Documents EMNLP 2023 Fast Contextual Scene Graph Generation With Unbiased Context Augmentation CVPR 2023 Fast Fluid Simulation via Dynamic Multi-Scale Gridding AAAI 2023 Fast Sampling of Diffusion Models via Operator Learning ICML 2023 FCC: Feature Clusters Compression for Long-Tailed Visual Recognition CVPR 2023 f-Divergence Minimization for Sequence-Level Knowledge Distillation ACL 2023 Feature Alignment and Uniformity for Test Time Adaptation CVPR 2023 Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation ICML 2023 Feature Disentanglement Learning With Switching and Aggregation for Video-Based Person Re-Identification WACV 2023 Feature Distribution Fitting with Direction-Driven Weighting for Few-Shot Images Classification AAAI 2023 Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond NeurIPS 2023 Feature-Level Debiased Natural Language Understanding AAAI 2023