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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'20

'25

Papers (including subtopics)

Fact-Checking Meets Fauxtography: Verifying Claims About Images EMNLP 2019 Factor Graph Attention CVPR 2019 Faithful Multimodal Explanation for Visual Question Answering ACL 2019 Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation UAI 2019 FA-RPN: Floating Region Proposals for Face Detection CVPR 2019 Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes NeurIPS 2019 Fast AutoAugment NeurIPS 2019 Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech CVPR 2019 Fast Domain Adaptation of Semantic Parsers via Paraphrase Attention EMNLP 2019 Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells CVPR 2019 Fast Spatio-Temporal Residual Network for Video Super-Resolution CVPR 2019 Fast Structured Decoding for Sequence Models NeurIPS 2019 Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks CVPR 2019 Feature Denoising for Improving Adversarial Robustness CVPR 2019 Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples CVPR 2019 Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study AAAI 2019 Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition CVPR 2019 Feature Selective Anchor-Free Module for Single-Shot Object Detection CVPR 2019 Feature Transfer Learning for Face Recognition With Under-Represented Data CVPR 2019 Feature-Wise Bias Amplification ICLR 2019 Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks CVPR 2019 Feedback Network for Image Super-Resolution CVPR 2019 FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation CVPR 2019 Few-Shot Adaptive Faster R-CNN CVPR 2019 Few-Shot Generalization for Single-Image 3D Reconstruction via Priors ICCV 2019