conftrace_

Learning Paradigms

14,967 papers (9 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Transfer Learning (8,172) Few-Shot Learning (2,681) Meta-Learning (1,719) Federated Learning (1,560) Zero-Shot Learning (878) Continual Learning (189) Domain Adaptation (184) Self-Supervised Learning (158) Active Learning (154) Multi-Task Learning (145) Semi-Supervised Learning (86) In-Context Learning (53) Unsupervised Learning (53) Domain Generalization (26) Weakly Supervised Learning (23)

Papers per year

3

2

4

12

24

14

20

29

31

32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

'5

'10

'15

'20

'25

Papers (including subtopics)

Foundation Model is Efficient Multimodal Multitask Model Selector NeurIPS 2023 Frank at ArAIEval Shared Task: Arabic Persuasion and Disinformation: The Power of Pretrained Models EMNLP 2023 FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation ICCV 2023 Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint Averaging ACL 2023 Frequency Guidance Matters in Few-Shot Learning ICCV 2023 From Chaos to Clarity: Claim Normalization to Empower Fact-Checking EMNLP 2023 From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement IJCAI 2023 From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning ICML 2023 From Numbers to Words: Multi-Modal Bankruptcy Prediction Using the ECL Dataset AACL 2023 From Trainable Negative Depth to Edge Heterophily in Graphs NeurIPS 2023 From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained ACL 2023 Frustratingly Easy Truth Discovery AAAI 2023 FS-DETR: Few-Shot DEtection TRansformer with Prompting and without Re-Training ICCV 2023 FTD at SemEval-2023 Task 3: News Genre and Propaganda Detection by Comparing Mono- and Multilingual Models with Fine-tuning on Additional Data SemEval 2023 Full-Atom Protein Pocket Design via Iterative Refinement NeurIPS 2023 Full Gradient Deep Reinforcement Learning for Average-Reward Criterion L4DC 2023 Function-Space Regularization in Neural Networks: A Probabilistic Perspective ICML 2023 Gallery Filter Network for Person Search WACV 2023 Game Solving with Online Fine-Tuning NeurIPS 2023 GAUCHE: A Library for Gaussian Processes in Chemistry NeurIPS 2023 Gaussian Distributed Prototypical Network for Few-shot Genomic Variant Detection ACL 2023 GC-Hunter at ImageArg Shared Task: Multi-Modal Stance and Persuasiveness Learning EMNLP 2023 GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency ICML 2023 GEMS: Generating Efficient Meta-Subnets WACV 2023 GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding EMNLP 2023