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06/16/2023
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
Despite the remarkable performance of text-to-image diffusion models in ...
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05/24/2023
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge
Diffusion models are a powerful class of generative models which simulat...
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05/20/2023
Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics
In recent years, learning-based control in robotics has gained significa...
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01/27/2023
Minimizing Trajectory Curvature of ODE-based Generative Models
Recent ODE/SDE-based generative models, such as diffusion models, rectif...
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10/11/2022
Measuring and Improving Semantic Diversity of Dialogue Generation
Response diversity has become an important criterion for evaluating the ...
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09/29/2022
Denoising MCMC for Accelerating Diffusion-Based Generative Models
Diffusion models are powerful generative models that simulate the revers...
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05/30/2022
Mitigating Out-of-Distribution Data Density Overestimation in Energy-Based Models
Deep energy-based models (EBMs), which use deep neural networks (DNNs) a...
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04/22/2022
Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances
In this paper, we consider mimicking fictional characters as a promising...
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02/21/2022
Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness
Adversarial examples, crafted by adding imperceptible perturbations to n...
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02/10/2022
Energy-Based Contrastive Learning of Visual Representations
Contrastive learning is a method of learning visual representations by t...
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12/13/2021
Understanding and Improving the Exemplar-based Generation for Open-domain Conversation
Exemplar-based generative models for open-domain conversation produce re...
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08/28/2021
Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation
Despite the remarkable performance of large-scale generative models in o...
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12/01/2020
Disentangling Label Distribution for Long-tailed Visual Recognition
The current evaluation protocol of long-tailed visual recognition trains...
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07/15/2020
Filter Style Transfer between Photos
Over the past few years, image-to-image style transfer has risen to the ...
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11/19/2019
MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets
When there is a mismatch between the target identity and the driver iden...
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10/04/2019
Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector
Automatic post-disaster damage detection using aerial imagery is crucial...
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04/08/2019
Temporal Convolution for Real-time Keyword Spotting on Mobile Devices
Keyword spotting (KWS) plays a critical role in enabling speech-based us...
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03/27/2019
Bridging Adversarial Robustness and Gradient Interpretability
Adversarial training is a training scheme designed to counter adversaria...
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02/13/2019
Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps
Saliency Map, the gradient of the score function with respect to the inp...
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06/08/2018
