Amnon Shashua
23 papers · 2003–2024 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (50) π Academic Marathon Β· Ultra π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Keyword Trendsetter Combo
(11)
π€
Dynamic Duo
(10)
π§¬
Topic Evolution
π
Keyword Champion
π§
Keyword Pioneer
π
Trend Setter
π₯
Unstoppable Β· Bronze
β
The Questioner
ποΈ
Keyword Collector
(123)
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
π
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(17)
Deep Learning
(16)
Optimization & Theory
(11)
Architectures
(7)
Techniques
(7)
Core Methods
(6)
Artificial Intelligence
(5)
Natural Language Processing
(4)
Core AI
(4)
Models
(4)
Application Areas
(3)
Learning Types
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Analysis
(2)
Keywords
convolutional neural network
(3)
in-context learning
(3)
language model
(3)
expressive power
(3)
sequence-to-sequence model
(2)
sparse representation
(2)
shallow network
(2)
matrix factorization
(2)
convolutional network
(2)
inductive bia
(2)
tensor decomposition
(2)
depth efficiency
(2)
face recognition
(2)
expressive efficiency
(2)
attention mechanism
(2)
model architecture
(2)
network depth
(2)
similarity learning
(1)
network architecture
(1)
feature selection
(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
Parallel Context Windows for Large Language Models
ACL 2023
Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks
ICLR 2023
The Learnability of In-Context Learning
NeurIPS 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
Limits to Depth Efficiencies of Self-Attention
NeurIPS 2020
SenseBERT: Driving Some Sense into BERT
ACL 2020
Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions
ICLR 2018
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design
ICLR 2018
On the Expressive Power of Overlapping Architectures of Deep Learning
ICLR 2018
Sum-Product-Quotient Networks
AISTATS 2018
Convolutional Rectifier Networks as Generalized Tensor Decompositions
ICML 2016
Deep SimNets
CVPR 2016
Learning a Metric Embedding for Face Recognition using the Multibatch Method
NeurIPS 2016
On the Expressive Power of Deep Learning: A Tensor Analysis
COLT 2016
ShareBoost: Efficient multiclass learning with feature sharing
NeurIPS 2011
Doubly Stochastic Normalization for Spectral Clustering
NeurIPS 2006
Nonnegative Sparse PCA
NeurIPS 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