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

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12

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14

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32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

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Papers (including subtopics)

Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier ICCV 2023 Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization CVPR 2023 Boosting Transformers and Language Models for Clinical Prediction in Immunotherapy ACL 2023 Bootstrapping Multilingual Semantic Parsers using Large Language Models EACL 2023 Bootstrapping Small & High Performance Language Models with Unmasking-Removal Training Policy EMNLP 2023 Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance CoRL 2023 Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm ICCV 2023 Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack CVPR 2023 Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection AAAI 2023 Breaking the Communication-Privacy-Accuracy Tradeoff with f-Differential Privacy NeurIPS 2023 Bridge the Inference Gaps of Neural Processes via Expectation Maximization ICLR 2023 Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes ICLR 2023 Bridging the Gap between Native Text and Translated Text through Adversarial Learning: A Case Study on Cross-Lingual Event Extraction EACL 2023 Bridging the Gap between Pre-Training and Fine-Tuning for Commonsense Generation EACL 2023 Buffered Asynchronous SGD for Byzantine Learning JMLR 2023 Building a Subspace of Policies for Scalable Continual Learning ICLR 2023 Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach ICCV 2023 Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition NeurIPS 2023 BUSTER: a “BUSiness Transaction Entity Recognition” dataset EMNLP 2023 Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes NeurIPS 2023 Byzantine-Robust Federated Learning with Optimal Statistical Rates AISTATS 2023 Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting ICML 2023 Byzantine-Tolerant Methods for Distributed Variational Inequalities NeurIPS 2023 Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning NeurIPS 2023 Calvados at MEDIQA-Chat 2023: Improving Clinical Note Generation with Multi-Task Instruction Finetuning ACL 2023