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)

Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization ACL 2024 Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning CVPR 2024 Beyond Single-Audio: Advancing Multi-Audio Processing in Audio Large Language Models EMNLP 2024 Beyond task diversity: provable representation transfer for sequential multitask linear bandits NeurIPS 2024 Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning ICLR 2024 Beyond Textual Constraints: Learning Novel Diffusion Conditions with Fewer Examples CVPR 2024 Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning AAAI 2024 Bidirectional Contrastive Split Learning for Visual Question Answering AAAI 2024 BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements WACV 2024 BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks EMNLP 2024 Biologically Inspired Learning Model for Instructed Vision NeurIPS 2024 Biomedical Entity Representation with Graph-Augmented Multi-Objective Transformer NAACL 2024 Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract) AAAI 2024 Biomedical Visual Instruction Tuning with Clinician Preference Alignment NeurIPS 2024 BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity NeurIPS 2024 Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding SemEval 2024 BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NeurIPS 2024 BLT: Can Large Language Models Handle Basic Legal Text? EMNLP 2024 BOBA: Byzantine-Robust Federated Learning with Label Skewness AISTATS 2024 Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World ICLR 2024 Boosting Few-Shot Learning via Attentive Feature Regularization AAAI 2024 Boosting Model Resilience via Implicit Adversarial Data Augmentation IJCAI 2024 Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models ICLR 2024 Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models? EMNLP 2024 Boosting Transferability and Discriminability for Time Series Domain Adaptation NeurIPS 2024