6 citations · 10 across the 7 of their papers we have counts for
7 papers
Eidetic Learning: an Efficient and Provable Solution to Catastrophic Forgetting
Nicholas Dronen, Randall Balestriero
Catastrophic forgetting -- the phenomenon of a neural network learning a task t1 and losing the ability to perform it after being trained on some other task t2 -- is a long-standin…
SetLexSem Challenge: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models
Bardiya Akhbari, Manish Gawali, Nicholas A. Dronen
Set theory is foundational to mathematics and, when sets are finite, to reasoning about the world. An intelligent system should perform set operations consistently, regardless of s…
How Lexical is Bilingual Lexicon Induction?
Harsh Kohli, Helian Feng, Nicholas Dronen +3
In contemporary machine learning approaches to bilingual lexicon induction (BLI), a model learns a mapping between the embedding spaces of a language pair. Recently, retrieve-and-r…
Look-ups are not (yet) all you need for deep learning inference
Calvin McCarter, Nicholas Dronen
Fast approximations to matrix multiplication have the potential to dramatically reduce the cost of neural network inference. Recent work on approximate matrix multiplication propos…
Adaptive Block Floating-Point for Analog Deep Learning Hardware
Ayon Basumallik, Darius Bunandar, Nicholas Dronen +6
Analog mixed-signal (AMS) devices promise faster, more energy-efficient deep neural network (DNN) inference than their digital counterparts. However, recent studies show that DNNs…
Effective sampling for large-scale automated writing evaluation systems
Nicholas Dronen, Peter W. Foltz, Kyle Habermehl
Automated writing evaluation (AWE) has been shown to be an effective mechanism for quickly providing feedback to students. It has already seen wide adoption in enterprise-scale app…
Return probability and k-step measures
Nicholas Dronen, Qin Lv
The notion of return probability -- explored most famously by George Pólya on d-dimensional lattices -- has potential as a measure for the analysis of networks. We present an effic…