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08/23/2023
HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing
Small farms contribute to a large share of the productive land in develo...
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06/30/2023
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions
Generating learning-friendly representations for points in space is a fu...
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06/27/2023
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
Genomic (DNA) sequences encode an enormous amount of information for gen...
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06/08/2023
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
In many domains, autoregressive models can achieve low log-likelihood on...
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06/01/2023
On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularization
The emergence of various notions of “consistency” in diffusion models ha...
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05/27/2023
MADiff: Offline Multi-agent Learning with Diffusion Models
Diffusion model (DM), as a powerful generative model, recently achieved ...
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05/25/2023
Parallel Sampling of Diffusion Models
Diffusion models are powerful generative models but suffer from slow sam...
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05/18/2023
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
Achieving machine autonomy and human control often represent divergent o...
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05/02/2023
Geometric Latent Diffusion Models for 3D Molecule Generation
Generative models, especially diffusion models (DMs), have achieved prom...
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05/01/2023
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations
Geo-tagged images are publicly available in large quantities, whereas la...
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04/28/2023
MUDiff: Unified Diffusion for Complete Molecule Generation
We present a new model for generating molecular data by combining discre...
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04/10/2023
Reflected Diffusion Models
Score-based diffusion models learn to reverse a stochastic differential ...
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04/10/2023
MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning
We study how a principal can efficiently and effectively intervene on th...
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03/29/2023
Ideal Abstractions for Decision-Focused Learning
We present a methodology for formulating simplifying abstractions in mac...
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03/23/2023
End-to-End Diffusion Latent Optimization Improves Classifier Guidance
Classifier guidance – using the gradients of an image classifier to stee...
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03/17/2023
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation
Text-to-image (T2I) models based on diffusion processes have achieved re...
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03/16/2023
HIVE: Harnessing Human Feedback for Instructional Visual Editing
Incorporating human feedback has been shown to be crucial to align text ...
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02/21/2023
Hyena Hierarchy: Towards Larger Convolutional Language Models
Recent advances in deep learning have relied heavily on the use of large...
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02/07/2023
Long Horizon Temperature Scaling
Temperature scaling is a popular technique for tuning the sharpness of a...
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01/30/2023
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
Pre-trained diffusion models have been successfully used as priors in a ...
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01/05/2023
Extreme Q-Learning: MaxEnt RL without Entropy
Modern Deep Reinforcement Learning (RL) algorithms require estimates of ...
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01/04/2023
Building Coverage Estimation with Low-resolution Remote Sensing Imagery
Building coverage statistics provide crucial insights into the urbanizat...
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12/24/2022
Deep Latent State Space Models for Time-Series Generation
Methods based on ordinary differential equations (ODEs) are widely used ...
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11/26/2022
Transform Once: Efficient Operator Learning in Frequency Domain
Spectral analysis provides one of the most effective paradigms for infor...
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11/03/2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
During image editing, existing deep generative models tend to re-synthes...
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11/02/2022
Concrete Score Matching: Generalized Score Matching for Discrete Data
Representing probability distributions by the gradient of their density ...
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10/22/2022
LMPriors: Pre-Trained Language Models as Task-Specific Priors
Particularly in low-data regimes, an outstanding challenge in machine le...
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10/09/2022
Regularizing Score-based Models with Score Fokker-Planck Equations
Score-based generative models learn a family of noise-conditional score ...
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10/06/2022
On Distillation of Guided Diffusion Models
Classifier-free guided diffusion models have recently been shown to be h...
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09/29/2022
Towards General-Purpose Representation Learning of Polygonal Geometries
Neural network representation learning for spatial data is a common need...
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09/28/2022
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
Normalizing flows model complex probability distributions using maps obt...
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09/23/2022
JPEG Artifact Correction using Denoising Diffusion Restoration Models
Diffusion models can be used as learned priors for solving various inver...
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07/17/2022
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
Unsupervised pre-training methods for large vision models have shown to ...
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05/27/2022
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Transformers are slow and memory-hungry on long sequences, since the tim...
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05/26/2022
Training and Inference on Any-Order Autoregressive Models the Right Way
Conditional inference on arbitrary subsets of variables is a core proble...
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04/15/2022
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
Many patterns in nature exhibit self-similarity: they can be compactly d...
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04/04/2022
Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution
Automated tracking of urban development in areas where construction info...
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03/16/2022
Dual Diffusion Implicit Bridges for Image-to-Image Translation
Common image-to-image translation methods rely on joint training over da...
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02/28/2022
LISA: Learning Interpretable Skill Abstractions from Language
Learning policies that effectually utilize language instructions in comp...
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02/02/2022
Imitation Learning by Estimating Expertise of Demonstrators
Many existing imitation learning datasets are collected from multiple de...
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01/27/2022
Denoising Diffusion Restoration Models
Many interesting tasks in image restoration can be cast as linear invers...
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01/05/2022
Conditional Imitation Learning for Multi-Agent Games
While advances in multi-agent learning have enabled the training of incr...
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12/12/2021
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces
Modern classification algorithms are susceptible to adversarial examples...
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12/07/2021
A Unified Framework for Multi-distribution Density Ratio Estimation
Binary density ratio estimation (DRE), the problem of estimating the rat...
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12/06/2021
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
A structural equation model (SEM) is an effective framework to reason ov...
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12/02/2021
HyperSPNs: Compact and Expressive Probabilistic Circuits
Probabilistic circuits (PCs) are a family of generative models which all...
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11/08/2021
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning
Progress toward the United Nations Sustainable Development Goals (SDGs) ...
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09/29/2021
Equivariant Neural Network for Factor Graphs
Several indices used in a factor graph data structure can be permuted wi...
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07/12/2021
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration
When facing uncertainty, decision-makers want predictions they can trust...
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07/10/2021