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08/10/2023
Proximal Policy Optimization Actual Combat: Manipulating Output Tokenizer Length
The Reinforcement Learning from Human Feedback (RLHF) plays a pivotal ro...
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04/08/2023
PVD-AL: Progressive Volume Distillation with Active Learning for Efficient Conversion Between Different NeRF Architectures
Neural Radiance Fields (NeRF) have been widely adopted as practical and ...
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03/27/2023
UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View
In the field of 3D object detection for autonomous driving, the sensor p...
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03/17/2023
A Dynamic Multi-Scale Voxel Flow Network for Video Prediction
The performance of video prediction has been greatly boosted by advanced...
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03/13/2023
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning
We propose universally slimmable self-supervised learning (dubbed as US3...
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02/27/2023
OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion
3D Semantic Scene Completion (SSC) can provide dense geometric and seman...
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11/29/2022
One is All: Bridging the Gap Between Neural Radiance Fields Architectures with Progressive Volume Distillation
Neural Radiance Fields (NeRF) methods have proved effective as compact, ...
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07/12/2022
Synergistic Self-supervised and Quantization Learning
With the success of self-supervised learning (SSL), it has become a main...
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07/12/2022
Collaborative Neural Rendering using Anime Character Sheets
Drawing images of characters at desired poses is an essential but labori...
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06/26/2022
Perceptual Conversational Head Generation with Regularized Driver and Enhanced Renderer
This paper reports our solution for MultiMedia ViCo 2022 Conversational ...
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03/04/2022
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights
Combinatorial optimization is a well-established area in operations rese...
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01/25/2022
ML4CO-KIDA: Knowledge Inheritance in Data Aggregation
The Machine Learning for Combinatorial Optimization (ML4CO) NeurIPS 2021...
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11/27/2021
FQ-ViT: Fully Quantized Vision Transformer without Retraining
Network quantization significantly reduces model inference complexity an...
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11/01/2021
Arch-Net: Model Distillation for Architecture Agnostic Model Deployment
Vast requirement of computation power of Deep Neural Networks is a major...
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11/12/2020
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation
We propose RIFE, a Real-time Intermediate Flow Estimation algorithm for ...
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08/30/2020
Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond
Quantized Neural Networks (QNNs) use low bit-width fixed-point numbers f...
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02/28/2020
Detecting and Recovering Adversarial Examples: An Input Sensitivity Guided Method
Deep neural networks undergo rapid development and achieve notable succe...
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03/11/2019
Stroke-based Artistic Rendering Agent with Deep Reinforcement Learning
Excellent painters can use only a few strokes to create a fantastic pain...
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03/11/2019
Learning to Paint with Model-based Deep Reinforcement Learning
We show how to teach machines to paint like human painters, who can use ...
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07/18/2018
Harmonic Adversarial Attack Method
Adversarial attacks find perturbations that can fool models into misclas...
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06/23/2018
Stroke-based Character Recognition with Deep Reinforcement Learning
The stroke sequence of characters is significant for the character recog...
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05/17/2018
Interpolatron: Interpolation or Extrapolation Schemes to Accelerate Optimization for Deep Neural Networks
In this paper we explore acceleration techniques for large scale nonconv...
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04/02/2018
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
In the NIPS 2017 Learning to Run challenge, participants were tasked wit...
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12/25/2017
Learning to Run with Actor-Critic Ensemble
We introduce an Actor-Critic Ensemble(ACE) method for improving the perf...
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06/22/2017
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks
Quantized Neural Networks (QNNs), which use low bitwidth numbers for rep...
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05/14/2017
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data
Object Transfiguration replaces an object in an image with another objec...
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04/11/2017
EAST: An Efficient and Accurate Scene Text Detector
Previous approaches for scene text detection have already achieved promi...
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12/01/2016
Training Bit Fully Convolutional Network for Fast Semantic Segmentation
Fully convolutional neural networks give accurate, per-pixel prediction ...
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11/30/2016
Effective Quantization Methods for Recurrent Neural Networks
Reducing bit-widths of weights, activations, and gradients of a Neural N...
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06/29/2016
Scene Text Detection via Holistic, Multi-Channel Prediction
Recently, scene text detection has become an active research topic in co...
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06/20/2016
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
We propose DoReFa-Net, a method to train convolutional neural networks t...
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12/31/2015
Exploiting Local Structures with the Kronecker Layer in Convolutional Networks
In this paper, we propose and study a technique to reduce the number of ...
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11/30/2015
Incidental Scene Text Understanding: Recent Progresses on ICDAR 2015 Robust Reading Competition Challenge 4
Different from focused texts present in natural images, which are captur...
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07/30/2015
Multilinear Map Layer: Prediction Regularization by Structural Constraint
In this paper we propose and study a technique to impose structural cons...
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07/21/2015
Compression of Fully-Connected Layer in Neural Network by Kronecker Product
In this paper we propose and study a technique to reduce the number of p...
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06/10/2015
ICDAR 2015 Text Reading in the Wild Competition
Recently, text detection and recognition in natural scenes are becoming ...
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10/03/2014
Group Orbit Optimization: A Unified Approach to Data Normalization
In this paper we propose and study an optimization problem over a matrix...
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07/22/2013
