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 Adaptive Segmentation Policy for End-to-End Simultaneous Translation ACL 2022 Learning Adaptive Warping for Real-World Rolling Shutter Correction CVPR 2022 Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification AAAI 2022 Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration AAAI 2022 Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation NeurIPS 2022 Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection AAAI 2022 Learning Based Multi-Modality Image and Video Compression CVPR 2022 Learning Better Intent Representations for Financial Open Intent Classification EMNLP 2022 Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension ACL 2022 Learning Concept Credible Models for Mitigating Shortcuts NeurIPS 2022 Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds NeurIPS 2022 Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract) AAAI 2022 Learning Cross-Task Dependencies for Joint Extraction of Entities, Events, Event Arguments, and Relations EMNLP 2022 Learning Debiased Classifier with Biased Committee NeurIPS 2022 Learning Deep Implicit Functions for 3D Shapes With Dynamic Code Clouds CVPR 2022 Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization NeurIPS 2022 Learning Dialogue Representations from Consecutive Utterances NAACL 2022 Learning Disentangled Attribute Representations for Robust Pedestrian Attribute Recognition AAAI 2022 Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View ICLR 2022 Learning Disentangled Representations of Negation and Uncertainty ACL 2022 Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension ACL 2022 Learning Disentangled Textual Representations via Statistical Measures of Similarity ACL 2022 Learning Distinctive Margin Toward Active Domain Adaptation CVPR 2022 Learning dynamics of deep linear networks with multiple pathways NeurIPS 2022 Learning Economic Indicators by Aggregating Multi-Level Geospatial Information AAAI 2022