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)

Do Data-based Curricula Work? ACL 2022 Do Decoding Algorithms Capture Discourse Structure in Multi-Modal Tasks? A Case Study of Image Paragraph Generation EMNLP 2022 Does BERT Know that the IS-A Relation Is Transitive? ACL 2022 Does Corpus Quality Really Matter for Low-Resource Languages? EMNLP 2022 Does GNN Pretraining Help Molecular Representation? NeurIPS 2022 Does Self-Rationalization Improve Robustness to Spurious Correlations? EMNLP 2022 Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? NeurIPS 2022 Does Simultaneous Speech Translation need Simultaneous Models? EMNLP 2022 Does the Geometry of the Data Control the Geometry of Neural Predictions? (Student Abstract) AAAI 2022 Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing EMNLP 2022 DO-GAN: A Double Oracle Framework for Generative Adversarial Networks CVPR 2022 Do Language Models Understand Measurements? EMNLP 2022 Domain Adaptation for Arabic Crisis Response EMNLP 2022 Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification ACL 2022 Domain Adaptation on Point Clouds via Geometry-Aware Implicits CVPR 2022 Domain-Adapted BERT-based Models for Nuanced Arabic Dialect Identification and Tweet Sentiment Analysis EMNLP 2022 Domain Adversarial Learning for Color Constancy IJCAI 2022 Domain Confused Contrastive Learning for Unsupervised Domain Adaptation NAACL 2022 Domain Curricula for Code-Switched MT at MixMT 2022 EMNLP 2022 Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval AAAI 2022 Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training ACL 2022 Domain Generalization Through Audio-Visual Relative Norm Alignment in First Person Action Recognition WACV 2022 Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing CVPR 2022 Domain Reconstruction for UWB Car Key Localization Using Generative Adversarial Networks AAAI 2022 Domain-specific knowledge distillation yields smaller and better models for conversational commerce ACL 2022