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representation learning

6206 papers

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Also known as

RL

Co-occurring keywords

contrastive learning (4032) self-supervised learning (3777) transfer learning (5449) neural network (6616) unsupervised learning (3264) graph neural network (3962) multimodal learning (4645) domain adaptation (4595) feature learning (1311) language model (4599)

Papers

“Average” Approximates “First Principal Component”? An Empirical Analysis on Representations from Neural Language Models EMNLP 2021
How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy EMNLP 2021
Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach IJCAI 2021
Neural News Recommendation with Collaborative News Encoding and Structural User Encoding EMNLP 2021
APGN: Adversarial and Parameter Generation Networks for Multi-Source Cross-Domain Dependency Parsing EMNLP 2021
Geo-BERT Pre-training Model for Query Rewriting in POI Search EMNLP 2021
Data-Efficient Language Shaped Few-shot Image Classification EMNLP 2021
Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation EMNLP 2021
Self-Supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond ICCV 2021
With a Little Help From My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations ICCV 2021
Weakly Supervised Representation Learning With Coarse Labels ICCV 2021
Voice2Series: Reprogramming Acoustic Models for Time Series Classification ICML 2021
Debiasing Methods in Natural Language Understanding Make Bias More Accessible EMNLP 2021
Who’s on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains CONLL 2021
Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces IJCAI 2021
CanvasVAE: Learning To Generate Vector Graphic Documents ICCV 2021
Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training EMNLP 2021
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks IJCAI 2021
Time-Aware Multi-Scale RNNs for Time Series Modeling IJCAI 2021
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images IJCAI 2021
Conditional Self-Supervised Learning for Few-Shot Classification IJCAI 2021
The Surprising Power of Graph Neural Networks with Random Node Initialization IJCAI 2021
Heterogeneous Graph Information Bottleneck IJCAI 2021
Hierarchical Self-supervised Augmented Knowledge Distillation IJCAI 2021
Learn from Concepts: Towards the Purified Memory for Few-shot Learning IJCAI 2021