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05/31/2023
Red Teaming Language Model Detectors with Language Models
The prevalence and high capacity of large language models (LLMs) present...
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05/15/2023
Symbol tuning improves in-context learning in language models
We present symbol tuning - finetuning language models on in-context inpu...
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02/13/2023
Symbolic Discovery of Optimization Algorithms
We present a method to formulate algorithm discovery as program search, ...
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03/05/2022
Towards Efficient and Scalable Sharpness-Aware Minimization
Recently, Sharpness-Aware Minimization (SAM), which connects the geometr...
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11/02/2021
Can Vision Transformers Perform Convolution?
Several recent studies have demonstrated that attention-based networks, ...
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08/18/2021
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving
Predictor-based algorithms have achieved remarkable performance in the N...
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08/10/2021
Rethinking Architecture Selection in Differentiable NAS
Differentiable Neural Architecture Search is one of the most popular Neu...
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06/03/2021
When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations
Vision Transformers (ViTs) and MLPs signal further efforts on replacing ...
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06/01/2021
Concurrent Adversarial Learning for Large-Batch Training
Large-batch training has become a commonly used technique when training ...
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03/23/2021
Robust and Accurate Object Detection via Adversarial Learning
Data augmentation has become a de facto component for training high-perf...
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06/18/2020
DrNAS: Dirichlet Neural Architecture Search
This paper proposes a novel differentiable architecture search method by...
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02/12/2020
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
Differentiable architecture search (DARTS) is a prevailing NAS solution ...
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07/17/2019
Genome-wide Causation Studies of Complex Diseases
Despite significant progress in dissecting the genetic architecture of c...
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06/28/2019
Searching for Interaction Functions in Collaborative Filtering
Interaction function (IFC), which captures interactions among items and ...
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09/21/2018
Neural Multi-Task Recommendation from Multi-Behavior Data
Most existing recommender systems leverage user behavior data of one typ...
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09/21/2018
