← Authors

Amnon Shashua

23 papers · 2003–2024 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (8) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) πŸƒ Academic Marathon (21) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (10) πŸ† Keyword Champion 🌱 Topic Pioneer 🀝 Dynamic Duo (10) ❓ The Questioner πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (91) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (5) πŸ’Ž 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

Yoav Levine (10) Noam Wies (7) Or Sharir (6) Nadav Cohen (5) Shai Shalev-shwartz (3) Yoav Shoham (3) Ori Ram (3) Nir Ratner (2) Oren Tadmor (2) Lior Wolf (2)

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