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

24

14

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29

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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)

Physics-Informed Bayesian Optimization of Variational Quantum Circuits NeurIPS 2023 Pic2Word: Mapping Pictures to Words for Zero-Shot Composed Image Retrieval CVPR 2023 PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching EMNLP 2023 Pipeline Enabling Zero-shot Classification for Bangla Handwritten Grapheme EMNLP 2023 Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning ACL 2023 PIVOT: Prompting for Video Continual Learning CVPR 2023 PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining CoRL 2023 PLOT: Prompt Learning with Optimal Transport for Vision-Language Models ICLR 2023 PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning ICCV 2023 Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning AAAI 2023 Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data NeurIPS 2023 Policy Stitching: Learning Transferable Robot Policies CoRL 2023 Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once CVPR 2023 PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation AAAI 2023 PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection NeurIPS 2023 Practical Differentially Private Hyperparameter Tuning with Subsampling NeurIPS 2023 Practical Equivariances via Relational Conditional Neural Processes NeurIPS 2023 Practical Takes on Federated Learning with Pretrained Language Models EACL 2023 PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition ACL 2023 PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter EMNLP 2023 PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training CoRL 2023 Predicate Invention for Bilevel Planning AAAI 2023 Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks CoRL 2023 PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds NeurIPS 2023 Pre-Finetuning for Few-Shot Emotional Speech Recognition Interspeech 2023