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11/28/2022
Continuous diffusion for categorical data
Diffusion models have quickly become the go-to paradigm for generative m...
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11/08/2022
Self-conditioned Embedding Diffusion for Text Generation
Can continuous diffusion models bring the same performance breakthrough ...
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12/13/2021
Step-unrolled Denoising Autoencoders for Text Generation
In this paper we propose a new generative model of text, Step-unrolled D...
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12/10/2020
Imitating Interactive Intelligence
A common vision from science fiction is that robots will one day inhabit...
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06/25/2019
Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction
Dense semantic 3D reconstruction is typically formulated as a discrete o...
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01/13/2019
RNN-based Generative Model for Fine-Grained Sketching
Deep generative models have shown great promise when it comes to synthes...
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10/04/2018
Episodic Curiosity through Reachability
Rewards are sparse in the real world and most today's reinforcement lear...
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06/18/2018
Conditional Affordance Learning for Driving in Urban Environments
Most existing approaches to autonomous driving fall into one of two cate...
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03/01/2018
Semi-parametric Topological Memory for Navigation
We introduce a new memory architecture for navigation in previously unse...
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05/19/2017
Matching neural paths: transfer from recognition to correspondence search
Many machine learning tasks require finding per-part correspondences bet...
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04/12/2017
Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark
This paper presents a new 3D point cloud classification benchmark data s...
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11/22/2016
Quad-networks: unsupervised learning to rank for interest point detection
Several machine learning tasks require to represent the data using only ...
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04/21/2016
TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks
In this paper we present a deep neural network topology that incorporate...
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04/11/2016