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05/23/2023
Video Prediction Models as Rewards for Reinforcement Learning
Specifying reward signals that allow agents to learn complex behaviors i...
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11/21/2022
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models
Diffusion models have shown impressive results in text-to-image synthesi...
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09/29/2022
DreamFusion: Text-to-3D using 2D Diffusion
Recent breakthroughs in text-to-image synthesis have been driven by diff...
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08/03/2022
AdaCat: Adaptive Categorical Discretization for Autoregressive Models
Autoregressive generative models can estimate complex continuous data di...
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12/02/2021
Zero-Shot Text-Guided Object Generation with Dream Fields
We combine neural rendering with multi-modal image and text representati...
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04/01/2021
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis
We present DietNeRF, a 3D neural scene representation estimated from a f...
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07/09/2020
Contrastive Code Representation Learning
Machine-aided programming tools such as automated type predictors and au...
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06/22/2020
Locally Masked Convolution for Autoregressive Models
High-dimensional generative models have many applications including imag...
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06/19/2020
Denoising Diffusion Probabilistic Models
We present high quality image synthesis results using diffusion probabil...
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03/13/2020
Sparse Graphical Memory for Robust Planning
To operate effectively in the real world, artificial agents must act fro...
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10/17/2019
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction
Self-driving vehicles plan around both static and dynamic objects, apply...
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10/07/2019
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization
Modern neural networks are increasingly bottlenecked by the limited capa...
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02/07/2019
Revec: Program Rejuvenation through Revectorization
Modern microprocessors are equipped with Single Instruction Multiple Dat...
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01/28/2019
The OoO VLIW JIT Compiler for GPU Inference
Current trends in Machine Learning (ML) inference on hardware accelerate...
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12/31/2018
