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09/05/2023
Improving Query-Focused Meeting Summarization with Query-Relevant Knowledge
Query-Focused Meeting Summarization (QFMS) aims to generate a summary of...
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05/13/2023
Depth Dependence of μP Learning Rates in ReLU MLPs
In this short note we consider random fully connected ReLU networks of w...
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02/08/2023
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity
This paper proposes a framework for quantitatively evaluating interactiv...
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12/19/2022
NusaCrowd: Open Source Initiative for Indonesian NLP Resources
We present NusaCrowd, a collaborative initiative to collect and unite ex...
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12/03/2022
RHO (ρ): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding
Dialogue systems can leverage large pre-trained language models and know...
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10/14/2022
Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training
Large-scale vision-language pre-trained (VLP) models are prone to halluc...
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05/06/2022
Convex Analysis at Infinity: An Introduction to Astral Space
Not all convex functions on ℝ^n have finite minimizers; some can only be...
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02/09/2022
Reproducibility in Optimization: Theoretical Framework and Limits
We initiate a formal study of reproducibility in optimization. We define...
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01/31/2022
Agnostic Learnability of Halfspaces via Logistic Loss
We investigate approximation guarantees provided by logistic regression ...
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10/21/2021
Actor-critic is implicitly biased towards high entropy optimal policies
We show that the simplest actor-critic method – a linear softmax policy ...
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07/01/2021
Fast Margin Maximization via Dual Acceleration
We present and analyze a momentum-based gradient method for training lin...
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06/10/2021
Early-stopped neural networks are consistent
This work studies the behavior of neural networks trained with the logis...
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04/12/2021
Generalization bounds via distillation
This paper theoretically investigates the following empirical phenomenon...
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01/11/2021
Model Generalization on COVID-19 Fake News Detection
Amid the pandemic COVID-19, the world is facing unprecedented infodemic ...
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12/08/2020
CrossNER: Evaluating Cross-Domain Named Entity Recognition
Cross-domain named entity recognition (NER) models are able to cope with...
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10/19/2020
Multi-hop Question Generation with Graph Convolutional Network
Multi-hop Question Generation (QG) aims to generate answer-related quest...
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06/19/2020
Gradient descent follows the regularization path for general losses
Recent work across many machine learning disciplines has highlighted tha...
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06/11/2020
Directional convergence and alignment in deep learning
In this paper, we show that although the minimizers of cross-entropy and...
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10/15/2019
Neural tangent kernels, transportation mappings, and universal approximation
This paper establishes rates of universal approximation for the shallow ...
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09/26/2019
Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks
Recent work has revealed that overparameterized networks trained by grad...
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06/18/2019
Approximation power of random neural networks
This paper investigates the approximation power of three types of random...
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06/11/2019
A refined primal-dual analysis of the implicit bias
Recent work shows that gradient descent on linearly separable data is im...
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10/04/2018
Gradient descent aligns the layers of deep linear networks
This paper establishes risk convergence and asymptotic weight matrix ali...
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03/20/2018
Risk and parameter convergence of logistic regression
The logistic loss is strictly convex and does not attain its infimum; co...
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12/19/2017
Wikidata Vandalism Detection - The Loganberry Vandalism Detector at WSDM Cup 2017
Wikidata is the new, large-scale knowledge base of the Wikimedia Foundat...
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11/06/2017
