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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Representation Learning
63 directly classified papers
Papers per year
2009: 1
2013: 1
2015: 1
2017: 1
2018: 5
2019: 2
2020: 4
2021: 8
2022: 4
2023: 12
2024: 5
2025: 16
2026: 3
Papers
Reinforcement Learning in Low-rank MDPs with Density Features
ICML 2023
Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration
ICML 2023
Query-as-context Pre-training for Dense Passage Retrieval
EMNLP 2023
Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction
CVPR 2023
The Locality and Symmetry of Positional Encodings
EMNLP 2023
Towards a Deep Understanding of Multilingual End-to-End Speech Translation
EMNLP 2023
Numeric Magnitude Comparison Effects in Large Language Models
ACL 2023
Multi-Frequency Representation Enhancement with Privilege Information for Video Super-Resolution
ICCV 2023
GAN Prior Based Null-Space Learning for Consistent Super-resolution
AAAI 2023
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
NIPS 2023
A Learnable Radial Basis Positional Embedding for Coordinate-MLPs
AAAI 2023
Towards Bridging Sample Complexity and Model Capacity
AAAI 2022
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction
ACL 2022
Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction
ACL 2022
Generalization Bounded Implicit Learning of Nearly Discontinuous Functions
L4DC 2022
MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning
IJCAI 2021
On the evolution of syntactic information encoded by BERT’s contextualized representations
EACL 2021
Towards robust vision by multi-task learning on monkey visual cortex
NIPS 2021
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers
EMNLP 2021
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction
EMNLP 2021
On the Approximation Power of Two-Layer Networks of Random ReLUs
COLT 2021
Learning Self-Consistency for Deepfake Detection
ICCV 2021
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT
EACL 2021
Label Correction Model for Aspect-based Sentiment Analysis
COLING 2020
MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization
AAAI 2020
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