conftrace_

representation learning

6,926 papers

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Also known as

RL

Co-occurring keywords · papers mentioning both

contrastive learning (960) self-supervised learning (952) transfer learning (487) neural network (452) graph neural network (415) unsupervised learning (414) multimodal learning (327) domain adaptation (252) feature learning (216) knowledge distillation (209)

Papers

Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer NeurIPS 2021 Supervising the Transfer of Reasoning Patterns in VQA NeurIPS 2021 Support-set bottlenecks for video-text representation learning ICLR 2021 Switchable K-Class Hyperplanes for Noise-Robust Representation Learning ICCV 2021 SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes NeurIPS 2021 Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks ACL 2021 Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors AAAI 2021 Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation ACL 2021 TAN-NTM: Topic Attention Networks for Neural Topic Modeling ACL 2021 Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning AAAI 2021 Task-Oriented Clustering for Dialogues EMNLP 2021 Taxonomy Completion via Triplet Matching Network AAAI 2021 TearingNet: Point Cloud Autoencoder To Learn Topology-Friendly Representations CVPR 2021 Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting AAAI 2021 Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases ICCV 2021 Temporal Predictive Coding For Model-Based Planning In Latent Space ICML 2021 Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks ICML 2021 Test Harder than You Train: Probing with Extrapolation Splits EMNLP 2021 The Intrinsic Dimension of Images and Its Impact on Learning ICLR 2021 The role of Disentanglement in Generalisation ICLR 2021 The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders EMNLP 2021 The Surprising Power of Graph Neural Networks with Random Node Initialization IJCAI 2021 The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings ICLR 2021 The Undergraduate Games Corpus: A Dataset for Machine Perception of Interactive Media AAAI 2021 The Value-Improvement Path: Towards Better Representations for Reinforcement Learning AAAI 2021