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

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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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Papers (including subtopics)

FuseGen: PLM Fusion for Data-generation based Zero-shot Learning EMNLP 2024 Fusing Models with Complementary Expertise ICLR 2024 Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction NAACL 2024 GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities EMNLP 2024 GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-Affordance Guidance NeurIPS 2024 Gaussian Process Bandits for Top-k Recommendations NeurIPS 2024 Gaussian Process Optimization for Adaptable Multi-Objective Text Generation using Linearly-Weighted Language Models NAACL 2024 Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks CoRL 2024 GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from a Single Image CVPR 2024 General Commerce Intelligence: Glocally Federated NLP-Based Engine for Privacy-Preserving and Sustainable Personalized Services of Multi-Merchants AAAI 2024 General Identifiability and Achievability for Causal Representation Learning AISTATS 2024 Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts NAACL 2024 Generalizable Multilingual Hate Speech Detection on Low Resource Indian Languages using Fair Selection in Federated Learning NAACL 2024 Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations AAAI 2024 Generalizations across filler-gap dependencies in neural language models CoNLL 2024 Generalization to New Sequential Decision Making Tasks with In-Context Learning ICML 2024 Generalized Planning in PDDL Domains with Pretrained Large Language Models AAAI 2024 Generalized Protein Pocket Generation with Prior-Informed Flow Matching NeurIPS 2024 Generalizing End-To-End Autonomous Driving In Real-World Environments Using Zero-Shot LLMs CoRL 2024 Generate Universal Adversarial Perturbations for Few-Shot Learning NeurIPS 2024 Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning EMNLP 2024 Generating Interpretations of Policy Announcements EMNLP 2024 Generating Origin-Destination Matrices in Neural Spatial Interaction Models NeurIPS 2024 Generating Pragmatic Examples to Train Neural Program Synthesizers ICLR 2024 Generative Modeling of Molecular Dynamics Trajectories NeurIPS 2024