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)

Learning Object Interactions and Descriptions for Semantic Image Segmentation CVPR 2017 Learning Semantic Correspondences in Technical Documentation ACL 2017 Learning Shape Abstractions by Assembling Volumetric Primitives CVPR 2017 Learning Spatial Regularization With Image-Level Supervisions for Multi-Label Image Classification CVPR 2017 Learning Structured Natural Language Representations for Semantic Parsing ACL 2017 Learning the Multilinear Structure of Visual Data CVPR 2017 Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling ACL 2017 Learning to Detect Salient Objects With Image-Level Supervision CVPR 2017 Learning to Learn From Noisy Web Videos CVPR 2017 Learning to Pivot with Adversarial Networks NeurIPS 2017 Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps CVPR 2017 Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks IJCNLP 2017 Learning Translations via Matrix Completion EMNLP 2017 Learning Weakly Supervised Multimodal Phoneme Embeddings Interspeech 2017 Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix ACL 2017 Learning with Previously Unseen Features IJCAI 2017 “Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection ACL 2017 Libratus: The Superhuman AI for No-Limit Poker IJCAI 2017 Light Field Reconstruction Using Deep Convolutional Network on EPI CVPR 2017 Linking Image and Text With 2-Way Nets CVPR 2017 Link the Head to the "Beak": Zero Shot Learning From Noisy Text Description at Part Precision CVPR 2017 Lip Reading Sentences in the Wild CVPR 2017 Loss Max-Pooling for Semantic Image Segmentation CVPR 2017 Lower bounds on the robustness to adversarial perturbations NeurIPS 2017 Low-Rank Bilinear Pooling for Fine-Grained Classification CVPR 2017