Deep Learning From an Information Perspective
Mar
28
Date(s)
Summary
Xiangxiang Xu (MIT)
Packard 202
Packard 202
Displaying 1 - 10 of 28 results.
Differentially Private Community Detection over Stochastic Block Models
Nov
1
Date(s)
Summary
Mohamed Seif (Postdoctoral Research Associate, Princeton)
Packard 318
Packard 318
From Model Collapse to Biased Teachers: Challenges in Responsible Generative AI
Oct
29
Date(s)
Summary
Prof. Haewon Jeong (Univ of California, Santa Barbara)
Packard 202
Packard 202
Addressing Large Models: Multiple and Hierarchical Universality
Sep
25
Date(s)
Summary
Meir Feder (Tel-Aviv University)
Packard 204
Packard 204
Stochastic Contextual Bandits are Not Harder than Linear Bandits
Apr
19
Date(s)
Summary
Osama Hanna, PhD Student (UCLA)
Packard 202
Packard 202
Scalability in Low Power Wide Area Networks
Apr
15
Date(s)
Summary
Professor Bhuvana Krishnaswamy (Univ of Wisconsin-Madison)
Allen 101X
Allen 101X
Large Alphabet Inference
Apr
12
Date(s)
Summary
Prof Amichai Painsky (Tel Aviv Univ)
Packard 202
Packard 202
Refined Data Sampling and Re-weighting for Efficient and Fair Learning
Feb
9
Date(s)
Summary
Prof. Taesup Moon (Seoul National Univ)
Packard 202
Packard 202
Data Compression with Neural Fields
Jan
19
Date(s)
Summary
Hyunjik Kim and Jonathan Schwarz (Google)
Data Compression with Neural Fields
Dec
1
Date(s)
Summary
Hyunjik Kim and Jonathan Schwarz (Google)
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