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07/15/2023
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph
Large language models (LLMs) have made significant strides in various ta...
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05/27/2023
Graph Inductive Biases in Transformers without Message Passing
Transformers for graph data are increasingly widely studied and successf...
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04/23/2023
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
Large language models (LLMs) can achieve highly effective performance on...
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03/29/2023
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators
Many natural language processing (NLP) tasks rely on labeled data to tra...
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01/09/2023
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
We identify and overcome two key obstacles in extending the success of B...
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12/22/2022
GENIE: Large Scale Pre-training for Text Generation with Diffusion Model
In this paper, we propose a large-scale language pre-training for text G...
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12/14/2022
APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning
Long-form numerical reasoning in financial analysis aims to generate a r...
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11/09/2022
Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries: Deep Learning-Based Time Series Forecasting
Real-time air pollution monitoring is a valuable tool for public health ...
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11/09/2022
Unsupervised Extractive Summarization with Heterogeneous Graph Embeddings for Chinese Document
In the scenario of unsupervised extractive summarization, learning high-...
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10/18/2022
Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis
Most existing pre-trained language representation models (PLMs) are sub-...
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09/27/2022
PROD: Progressive Distillation for Dense Retrieval
Knowledge distillation is an effective way to transfer knowledge from a ...
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08/10/2022
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation
Semantic segmentation is a popular research topic in computer vision, an...
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07/28/2022
SuperVessel: Segmenting High-resolution Vessel from Low-resolution Retinal Image
Vascular segmentation extracts blood vessels from images and serves as t...
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07/17/2022
Fast-MoCo: Boost Momentum-based Contrastive Learning with Combinatorial Patches
Contrastive-based self-supervised learning methods achieved great succes...
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06/23/2022
Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles
Due to the pivotal role of Recommender Systems (RS) in guiding customers...
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06/06/2022
Contrastive Graph Multimodal Model for Text Classification in Videos
The extraction of text information in videos serves as a critical step t...
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05/09/2022
Visual Encoding and Debiasing for CTR Prediction
Extracting expressive visual features is crucial for accurate Click-Thro...
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01/17/2022
UWC: Unit-wise Calibration Towards Rapid Network Compression
This paper introduces a post-training quantization (PTQ) method achievin...
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08/16/2021
BN-NAS: Neural Architecture Search with Batch Normalization
We present BN-NAS, neural architecture search with Batch Normalization (...
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08/07/2021
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing
In this paper, we observe two levels of redundancies when applying visio...
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07/07/2021
GLiT: Neural Architecture Search for Global and Local Image Transformer
We introduce the first Neural Architecture Search (NAS) method to find a...
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03/14/2021
Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting
Automatic code summarization frees software developers from the heavy bu...
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02/13/2021
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels
Online gaming is a multi-billion-dollar industry, which is growing faste...
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12/25/2020
Inception Convolution with Efficient Dilation Search
Dilation convolution is a critical mutant of standard convolution neural...
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12/12/2020
DETR for Pedestrian Detection
Pedestrian detection in crowd scenes poses a challenging problem due to ...
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11/22/2020
Evolving Search Space for Neural Architecture Search
The automation of neural architecture design has been a coveted alternat...
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11/02/2020
PV-NAS: Practical Neural Architecture Search for Video Recognition
Recently, deep learning has been utilized to solve video recognition pro...
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10/21/2020
Adaptive Gradient Method with Resilience and Momentum
Several variants of stochastic gradient descent (SGD) have been proposed...
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10/09/2020
Once Quantized for All: Progressively Searching for Quantized Efficient Models
Automatic search of Quantized Neural Networks has attracted a lot of att...
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09/30/2020
Improving Auto-Augment via Augmentation-Wise Weight Sharing
The recent progress on automatically searching augmentation policies has...
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05/21/2020
Powering One-shot Topological NAS with Stabilized Share-parameter Proxy
One-shot NAS method has attracted much interest from the research commun...
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05/17/2020
Attacking Recommender Systems with Augmented User Profiles
Recommendation Systems (RS) have become an essential part of many online...
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12/24/2019
Computation Reallocation for Object Detection
The allocation of computation resources in the backbone is a crucial iss...
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11/12/2019
FLEN: Leveraging Field for Scalable CTR Prediction
Click-Through Rate (CTR) prediction has been an indispensable component ...
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10/06/2019
Improving One-shot NAS by Suppressing the Posterior Fading
There is a growing interest in automated neural architecture search (NAS...
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05/17/2019
AM-LFS: AutoML for Loss Function Search
Designing an effective loss function plays an important role in visual a...
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05/17/2019
Online Hyper-parameter Learning for Auto-Augmentation Strategy
Data augmentation is critical to the success of modern deep learning tec...
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11/06/2018