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)

Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping CVPR 2019 GIRNet: Interleaved Multi-Task Recurrent State Sequence Models AAAI 2019 Global Reasoning over Database Structures for Text-to-SQL Parsing EMNLP 2019 GlobalTrait: Personality Alignment of Multilingual Word Embeddings AAAI 2019 Glottal Closure Instants Detection from Speech Signal by Deep Features Extracted from Raw Speech and Linear Prediction Residual Interspeech 2019 GLTR: Statistical Detection and Visualization of Generated Text ACL 2019 Glyce: Glyph-vectors for Chinese Character Representations NeurIPS 2019 Goal-conditioned Imitation Learning NeurIPS 2019 Goal-Oriented Dialogue Policy Learning from Failures AAAI 2019 Good News, Everyone! Context Driven Entity-Aware Captioning for News Images CVPR 2019 Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild CVPR 2019 Gradient Harmonized Single-Stage Detector AAAI 2019 Grammatical Sequence Prediction for Real-Time Neural Semantic Parsing ACL 2019 Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection CVPR 2019 Graph Convolutional Networks for Text Classification AAAI 2019 Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks AAAI 2019 Graph Convolutional Tracking CVPR 2019 Graph Enhanced Cross-Domain Text-to-SQL Generation EMNLP 2019 Graphical Contrastive Losses for Scene Graph Parsing CVPR 2019 Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels NeurIPS 2019 Greedy Structure Learning of Hierarchical Compositional Models CVPR 2019 Grid Saliency for Context Explanations of Semantic Segmentation NeurIPS 2019 Grounded Video Description CVPR 2019 Group Sampling for Scale Invariant Face Detection CVPR 2019 G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based Detectors ACML 2019