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

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'15

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'25

Papers (including subtopics)

Adversarially Robust Multi-task Representation Learning NeurIPS 2024 A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning AAAI 2024 A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning AAAI 2024 AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis AAAI 2024 A Federated Learning Approach to Privacy Preserving Offensive Language Identification COLING 2024 A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs NeurIPS 2024 A Foundation Model for Error Correction Codes ICLR 2024 A Framework of Knowledge Graph-Enhanced Large Language Model Based on Question Decomposition and Atomic Retrieval EMNLP 2024 AfriInstruct: Instruction Tuning of African Languages for Diverse Tasks EMNLP 2024 Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models ACL 2024 Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation IJCAI 2024 Agnostic Active Learning of Single Index Models with Linear Sample Complexity COLT 2024 A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation ICLR 2024 A Hard Nut to Crack: Idiom Detection with Conversational Large Language Models NAACL 2024 A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems EMNLP 2024 A Hierarchical Bayesian Model for Few-Shot Meta Learning ICLR 2024 A Huber Loss Minimization Approach to Byzantine Robust Federated Learning AAAI 2024 A Hybrid Approach to Aspect Based Sentiment Analysis Using Transfer Learning COLING 2024 AI-Based Energy Transportation Safety: Pipeline Radial Threat Estimation Using Intelligent Sensing System AAAI 2024 A Kernel Perspective on Distillation-based Collaborative Learning NeurIPS 2024 A Knowledge Plug-and-Play Test Bed for Open-domain Dialogue Generation COLING 2024 ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data AISTATS 2024 AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data NeurIPS 2024 A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models EMNLP 2024 Algorithmic Foundation of Federated Learning with Sequential Data AAAI 2024