Amnon Shashua
23 papers · 2003–2024 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
π Conference Polyglot (9) πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (21)
πΊοΈ
Taxonomy Completionist
(10)
π
Academic Marathon
(21)
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(10)
π
Keyword Champion
π±
Topic Pioneer
π€
Dynamic Duo
(10)
β
The Questioner
π
Trend Setter
ποΈ
Keyword Collector
(91)
π
Conference Pioneer
π₯
Unstoppable
(5)
π
Century Club
(23)
Conferences
ICLR (6)
NIPS (6)
ICML (3)
ACL (2)
JMLR (2)
AISTATS (1)
COLT (1)
CVPR (1)
EACL (1)
Top co-authors
Keywords
tensor decomposition
(2)
model architecture
(2)
depth efficiency
(2)
convolutional neural network
(2)
matrix factorization
(2)
in-context learning
(2)
expressive power
(2)
network depth
(2)
language model
(2)
sparse representation
(2)
attention mechanism
(2)
word sense disambiguation
(1)
factual accuracy
(1)
classification
(1)
image segmentation
(1)
feature selection
(1)
spectral clustering
(1)
sample complexity
(1)
pac learning
(1)
supervised learning
(1)
Papers
Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework
ICLR 2024
Fundamental Limitations of Alignment in Large Language Models
ICML 2024
Generating Benchmarks for Factuality Evaluation of Language Models
EACL 2024
The Learnability of In-Context Learning
NIPS 2023
Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks
ICLR 2023
Parallel Context Windows for Large Language Models
ACL 2023
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
ICLR 2022
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention
ICML 2021
SenseBERT: Driving Some Sense into BERT
ACL 2020
Limits to Depth Efficiencies of Self-Attention
NIPS 2020
On the Expressive Power of Overlapping Architectures of Deep Learning
ICLR 2018
Sum-Product-Quotient Networks
AISTATS 2018
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design
ICLR 2018
Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions
ICLR 2018
Convolutional Rectifier Networks as Generalized Tensor Decompositions
ICML 2016
Learning a Metric Embedding for Face Recognition using the Multibatch Method
NIPS 2016
On the Expressive Power of Deep Learning: A Tensor Analysis
COLT 2016
Deep SimNets
CVPR 2016
ShareBoost: Efficient multiclass learning with feature sharing
NIPS 2011
Doubly Stochastic Normalization for Spectral Clustering
NIPS 2006
Nonnegative Sparse PCA
NIPS 2006
Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach
JMLR 2005
Learning over Sets using Kernel Principal Angles
JMLR 2003