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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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)

Robust Region Feature Synthesizer for Zero-Shot Object Detection CVPR 2022 Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning ICML 2022 RotoGrad: Gradient Homogenization in Multitask Learning ICLR 2022 RUG-1-Pegasussers at SemEval-2022 Task 3: Data Generation Methods to Improve Recognizing Appropriate Taxonomic Word Relations SemEval 2022 Safe Self-Refinement for Transformer-Based Domain Adaptation CVPR 2022 SAGDA: Achieving O(ε^-2) Communication Complexity in Federated Min-Max Learning NeurIPS 2022 Sammaan@LT-EDI-ACL2022: Ensembled Transformers Against Homophobia and Transphobia ACL 2022 Sample-and-threshold differential privacy: Histograms and applications AISTATS 2022 Sample-Then-Optimize Batch Neural Thompson Sampling NeurIPS 2022 Samsung Research Philippines - Datasaur AI’s Submission for the WMT22 Large Scale Multilingual Translation Task EMNLP 2022 SarcasmDet at SemEval-2022 Task 6: Detecting Sarcasm using Pre-trained Transformers in English and Arabic Languages SemEval 2022 SASH: Efficient secure aggregation based on SHPRG for federated learning UAI 2022 Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees NeurIPS 2022 ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation AutoML 2022 Scaling Language Model Size in Cross-Device Federated Learning ACL 2022 Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments EMNLP 2022 Scene Graph Expansion for Semantics-Guided Image Outpainting CVPR 2022 SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation ICML 2022 Score Matched Neural Exponential Families for Likelihood-Free Inference JMLR 2022 SEAL: Interactive Tool for Systematic Error Analysis and Labeling EMNLP 2022 Search and Learn: Improving Semantic Coverage for Data-to-Text Generation AAAI 2022 Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition NeurIPS 2022 Section Classification in Clinical Notes with Multi-task Transformers EMNLP 2022 SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning NeurIPS 2022 SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning WACV 2022