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08/19/2023
Eva-KELLM: A New Benchmark for Evaluating Knowledge Editing of LLMs
Large language models (LLMs) possess a wealth of knowledge encoded in th...
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08/14/2023
S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields
Recently, Neural Radiance Field (NeRF) has shown great success in render...
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06/21/2023
A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing
Recent years have witnessed the impressive progress in Neural Dependency...
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06/08/2023
Actively Supervised Clustering for Open Relation Extraction
Current clustering-based Open Relation Extraction (OpenRE) methods usual...
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06/08/2023
RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction
Semantic matching is a mainstream paradigm of zero-shot relation extract...
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03/18/2023
A Graph-Guided Reasoning Approach for Open-ended Commonsense Question Answering
Recently, end-to-end trained models for multiple-choice commonsense ques...
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12/05/2022
Rethinking the Structure of Stochastic Gradients: Empirical and Statistical Evidence
Stochastic gradients closely relate to both optimization and generalizat...
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08/29/2022
NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language
The recent privacy leakage incidences and the more strict policy regulat...
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06/23/2022
CGAR: Critic Guided Action Redistribution in Reinforcement Leaning
Training a game-playing reinforcement learning agent requires multiple i...
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05/19/2022
Dataset Pruning: Reducing Training Data by Examining Generalization Influence
The great success of deep learning heavily relies on increasingly larger...
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04/21/2022
SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space
Translation distance based knowledge graph embedding (KGE) methods, such...
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02/19/2022
Label-Smoothed Backdoor Attack
By injecting a small number of poisoned samples into the training set, b...
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01/31/2022
On the Power-Law Spectrum in Deep Learning: A Bridge to Protein Science
It is well-known that the Hessian matters to optimization, generalizatio...
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08/02/2021
S^2-MLPv2: Improved Spatial-Shift MLP Architecture for Vision
Recently, MLP-based vision backbones emerge. MLP-based vision architectu...
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06/28/2021
Rethinking Token-Mixing MLP for MLP-based Vision Backbone
In the past decade, we have witnessed rapid progress in the machine visi...
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06/14/2021
S^2-MLP: Spatial-Shift MLP Architecture for Vision
Recently, visual Transformer (ViT) and its following works abandon the c...
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03/12/2020
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems
Neural networks of ads systems usually take input from multiple resource...
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04/29/2019