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)

AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires MLHC 2023 AIST AIRC Submissions to the WMT23 Shared Task EMNLP 2023 A Joint Model for Pronunciation Assessment and Mispronunciation Detection and Diagnosis with Multi-task Learning Interspeech 2023 A Language-First Approach for Procedure Planning ACL 2023 ALERT: Adapt Language Models to Reasoning Tasks ACL 2023 Alfred: A System for Prompted Weak Supervision ACL 2023 Algorithm Selection for Deep Active Learning with Imbalanced Datasets NeurIPS 2023 Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors ACL 2023 Alignment with human representations supports robust few-shot learning NeurIPS 2023 “A Little is Enough”: Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation ACL 2023 Allophant: Cross-lingual Phoneme Recognition with Articulatory Attributes Interspeech 2023 Almost Cost-Free Communication in Federated Best Arm Identification AAAI 2023 A Low-Resource Approach to the Grammatical Error Correction of Ukrainian EACL 2023 A low resource framework for Multi-lingual ESG Impact Type Identification AACL 2023 AlphaD3M: An Open-Source AutoML Library for Multiple ML Tasks AutoML 2023 AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity NeurIPS 2023 A Meta-Learning Approach to Predicting Performance and Data Requirements CVPR 2023 A Meta-Reinforcement Learning Algorithm for Causal Discovery CLeaR 2023 A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics ICLR 2023 Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels UAI 2023 AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model ACL 2023 (Amplified) Banded Matrix Factorization: A unified approach to private training NeurIPS 2023 A Multi-task Learning Framework for Quality Estimation ACL 2023 Analogy-Forming Transformers for Few-Shot 3D Parsing ICLR 2023 Analysis of Acoustic information in End-to-End Spoken Language Translation Interspeech 2023