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)

Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks EMNLP 2021 Few-shot Font Generation with Localized Style Representations and Factorization AAAI 2021 Few-Shot Font Style Transfer Between Different Languages WACV 2021 Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling CVPR 2021 Few-Shot Image Generation via Cross-Domain Correspondence CVPR 2021 Few-shot Learning for Multi-label Intent Detection AAAI 2021 Few-Shot Named Entity Recognition: An Empirical Baseline Study EMNLP 2021 Few-Shot Object Detection via Classification Refinement and Distractor Retreatment CVPR 2021 Few-Shot Open-Set Recognition by Transformation Consistency CVPR 2021 FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models EMNLP 2021 Few-Shot Question Answering by Pretraining Span Selection ACL 2021 Few-Shot Segmentation via Cycle-Consistent Transformer NeurIPS 2021 Few-Shot Text Generation with Natural Language Instructions EMNLP 2021 Few-Shot Transformation of Common Actions Into Time and Space CVPR 2021 Fidelity-based Deep Adiabatic Scheduling ICLR 2021 FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation EMNLP 2021 Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech EMNLP 2021 Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue AAAI 2021 Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach EMNLP 2021 Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization EMNLP 2021 Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks NeurIPS 2021 Finding Sparse Structures for Domain Specific Neural Machine Translation AAAI 2021 Fine-Grained Angular Contrastive Learning With Coarse Labels CVPR 2021 Fine-grained Entity Typing via Label Reasoning EMNLP 2021 Fine-Grained Foreground Retrieval via Teacher-Student Learning WACV 2021