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08/06/2023
Leveraging Cloud Computing to Make Autonomous Vehicles Safer
The safety of autonomous vehicles (AVs) depends on their ability to perf...
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05/25/2023
Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation
Many fine-grained classification tasks, like rare animal identification,...
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05/24/2023
Gorilla: Large Language Model Connected with Massive APIs
Large Language Models (LLMs) have seen an impressive wave of advances re...
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05/24/2023
Decomposing Complex Queries for Tip-of-the-tongue Retrieval
When re-finding items, users who forget or are uncertain about identifyi...
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05/11/2023
Simple Token-Level Confidence Improves Caption Correctness
The ability to judge whether a caption correctly describes an image is a...
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03/13/2023
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
The high computational and memory requirements of large language model (...
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02/10/2023
The Wisdom of Hindsight Makes Language Models Better Instruction Followers
Reinforcement learning has seen wide success in finetuning large languag...
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11/21/2022
TEMPERA: Test-Time Prompting via Reinforcement Learning
Careful prompt design is critical to the use of large language models in...
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11/21/2022
Multitask Vision-Language Prompt Tuning
Prompt Tuning, conditioning on task-specific learned prompt vectors, has...
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10/18/2022
Using Language to Extend to Unseen Domains
It is expensive to collect training data for every possible domain that ...
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10/13/2022
Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays
Cloud applications are increasingly distributing data across multiple re...
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08/19/2022
Spectral Decomposition Representation for Reinforcement Learning
Representation learning often plays a critical role in reinforcement lea...
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07/16/2022
Autonomously Untangling Long Cables
Cables are ubiquitous in many settings and it is often useful to untangl...
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07/15/2022
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging
Fine-tuning models on edge devices like mobile phones would enable priva...
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07/14/2022
Making Linear MDPs Practical via Contrastive Representation Learning
It is common to address the curse of dimensionality in Markov decision p...
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06/12/2022
Neurotoxin: Durable Backdoors in Federated Learning
Due to their decentralized nature, federated learning (FL) systems have ...
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05/14/2022
The Sky Above The Clouds
Technology ecosystems often undergo significant transformations as they ...
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03/09/2022
All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators
Large-scale semantic image annotation is a significant challenge for lea...
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02/06/2022
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data
The search for effective and robust generalization metrics has been the ...
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01/21/2022
Representing Long-Range Context for Graph Neural Networks with Global Attention
Graph neural networks are powerful architectures for structured datasets...
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12/17/2021
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation
Traditional computer vision models are trained to predict a fixed set of...
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12/08/2021
The Effect of Model Size on Worst-Group Generalization
Overparameterization is shown to result in poor test accuracy on rare su...
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12/02/2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
Meta-reinforcement learning (meta-RL) has proven to be a successful fram...
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11/05/2021
Grounded Graph Decoding Improves Compositional Generalization in Question Answering
Question answering models struggle to generalize to novel compositions o...
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10/22/2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
Goal-conditioned reinforcement learning (RL) can solve tasks in a wide r...
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07/23/2021
Taxonomizing local versus global structure in neural network loss landscapes
Viewing neural network models in terms of their loss landscapes has a lo...
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07/22/2021
Accelerating Quadratic Optimization with Reinforcement Learning
First-order methods for quadratic optimization such as OSQP are widely u...
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07/10/2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Iterative Tasks
Reinforcement learning (RL) algorithms have shown impressive success in ...
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06/29/2021
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies
Robot manipulation for untangling 1D deformable structures such as ropes...
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06/19/2021
Learning Space Partitions for Path Planning
Path planning, the problem of efficiently discovering high-reward trajec...
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06/14/2021
CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks
Coronary heart disease (CHD) is the leading cause of adult death in the ...
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06/11/2021
Online Learning of Competitive Equilibria in Exchange Economies
The sharing of scarce resources among multiple rational agents is one of...
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06/06/2021
PAC Best Arm Identification Under a Deadline
We study (ϵ, δ)-PAC best arm identification, where a decision-maker must...
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06/04/2021
Disentangling Dense Multi-Cable Knots
Disentangling two or more cables requires many steps to remove crossings...
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06/02/2021
Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel Machines
Despite their ubiquity in core AI fields like natural language processin...
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04/29/2021
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
The increasing size of neural network models has been critical for impro...
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04/21/2021
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models
Humans have a remarkable ability to make decisions by accurately reasoni...
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04/18/2021
Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation
Traditional computer vision models are trained to predict a fixed set of...
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04/16/2021
Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles
We present Pylot, a platform for autonomous vehicle (AV) research and de...
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03/03/2021
Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time
We propose opportunistic evaluation, a framework for accelerating intera...
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12/15/2020
Online Learning Demands in Max-min Fairness
We describe mechanisms for the allocation of a scarce resource among mul...
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11/12/2020
Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation
Automation of surgical tasks using cable-driven robots is challenging du...
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11/10/2020
Untangling Dense Knots by Learning Task-Relevant Keypoints
Untangling ropes, wires, and cables is a challenging task for robots due...
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10/31/2020
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Nonlinear Scaling with Adaptive Parallelism
We study exploration in stochastic multi-armed bandits when we have acce...
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10/29/2020
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones
Safety remains a central obstacle preventing widespread use of RL in the...
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10/27/2020
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks
Fully quantized training (FQT), which uses low-bitwidth hardware by quan...
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10/09/2020
MMGSD: Multi-Modal Gaussian Shape Descriptors for Correspondence Matching in 1D and 2D Deformable Objects
We explore learning pixelwise correspondences between images of deformab...
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10/04/2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting
The goal of continual learning (CL) is to learn a sequence of tasks with...
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09/01/2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
Large-scale labeled training datasets have enabled deep neural networks ...
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08/26/2020