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08/01/2023
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems
The Traveling Salesman Problem (TSP) is a well-known problem in combinat...
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05/11/2023
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
General-purpose language models that can solve various language-domain t...
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12/21/2022
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models
Large language models (LLMs) have demonstrated excellent zero-shot gener...
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11/23/2022
Evaluating and Mitigating Static Bias of Action Representations in the Background and the Foreground
Deep neural networks for video action recognition easily learn to utiliz...
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10/17/2022
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
Visual question answering (VQA) is a hallmark of vision and language rea...
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06/01/2022
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction
Self-supervised learning for computer vision has achieved tremendous pro...
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12/07/2019
Does Interpretability of Neural Networks Imply Adversarial Robustness?
The success of deep neural networks is clouded by two issues that largel...
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10/08/2017
