Shai Fine

51 papers A* 6A 2B 1C 5Misc 2Journal 19Unranked 15
YearRankTypeTitle / Venue / Authors
2025 — conf
DharmaBench: Evaluating Language Models on Buddhist Texts in Sanskrit and Tibetan.
IJCNLP-AACL (long papers)
Kai Golan Hashiloni, Shay Cohen, Asaf Shina, Jingyi Yang, Orr Meir Zwebner, Nicola Bajetta, Guy Bilitski, Rebecca Sundén, Guy Maduel, Ryan Conlon, Ari Barzilai, Daniel Mass, Shanshan Jia, Aviv Naaman, Sonam Choden, Sonam Jamtsho, Yadi Qu, Harunaga Isaacson, Dorji Wangchuk, Shai Fine, Orna Almogi, Kfir Bar
2025 J jnl
Learning to Score.
CoRR
Yogev Kriger, Shai Fine
2025 — conf
Predicting Health States of Patients with Chronic Pain from Cellphone Usage Data.
CHIL
Maya Stemmer, Lior Ungar, Talia Friedman, Lihi Bik, Yotam Hadari, Itamar Efrati, Yarden Rachamim, Lior Carmi, Shai Fine
2024 — conf
DiaSet: An Annotated Dataset of Arabic Conversations.
LREC/COLING
Abraham Israeli, Aviv Naaman, Guy Maduel, Rawaa Makhoul, Dana Qaraeen, Amir Ejmail, Dina Lisnanskey, Julian Jubran, Shai Fine, Kfir Bar
2024 — conf
Predicting Adolescent Suicide Risk From Cellphone Usage Data and Self-Report Assessments.
HICSS
Maya Stemmer, Shira Barzilay, Itamar Efrati, Talia Friedman, Lior Carmi, Mishael Zohar, Anat Brunstein Klomek, Alan Apter, Shai Fine
2024 C conf
Variational Information Bottleneck with Gaussian Processes for Time-Series Classification.
ICMLA
Itamar Efrati, Shai Fine
2023 C conf
MoEAtt: A Deep Mixture of Experts Model using Attention-based Routing Gate.
ICMLA
Gal Blecher, Shai Fine
2023 — conf
Multiple-Source Adaptation Using Variational Rényi Bound Optimization.
ECML/PKDD (5)
Dana Oshri Zalman, Shai Fine
2023 J jnl
Variational Inference via Rényi Bound Optimization and Multiple-Source Adaptation.
Entropy
Dana Zalman (Oshri), Shai Fine
2022 C conf
Variational Inference via Rényi Upper-Lower Bound Optimization.
ICMLA
Dana Oshri Zalman, Shai Fine
2021 C conf
Discrete Latent Variables Discovery and Structure Learning in Mixed Bayesian Networks.
ICMLA
Aviv Peled, Shai Fine
2021 C conf
Pairwise Margin Maximization for Deep Neural Networks.
ICMLA
Berry Weinstein, Shai Fine, Yacov Hel-Or
2021 J jnl
Pairwise Margin Maximization for Deep Neural Networks.
CoRR
Berry Weinstein, Shai Fine, Yacov Hel-Or
2021 — conf
The IDC System for Sentiment Classification and Sarcasm Detection in Arabic.
WANLP
Abraham Israeli, Yotam Nahum, Shai Fine, Kfir Bar
2020 J jnl
Margin-Based Regularization and Selective Sampling in Deep Neural Networks.
CoRR
Berry Weinstein, Shai Fine, Yacov Hel-Or
2019 J jnl
Selective sampling for accelerating training of deep neural networks.
CoRR
Berry Weinstein, Shai Fine, Yacov Hel-Or
2018 J jnl
Actigraphy-based Sleep/Wake Pattern Detection using Convolutional Neural Networks.
CoRR
Lena Granovsky, Gabi Shalev, Nancy Yacovzada, Yotam Frank, Shai Fine
2018 J jnl
Characterizing patient compliance over six months in remote digital trials of Parkinson's and Huntington disease.
BMC Medical Informatics Decis. Mak.
Shani Cohen, Zeev Waks, Jordan J. Elm, Mark Forrest Gordon, Igor D. Grachev, Leehee Navon-Perry, Shai Fine, Iris Grossman, Spyros Papapetropoulos, Juha-Matti Savola
2018 J jnl
On the Blindspots of Convolutional Networks.
CoRR
Elad Hoffer, Shai Fine, Daniel Soudry
2012 J jnl
Distributed Learning, Communication Complexity and Privacy
CoRR
Maria-Florina Balcan, Avrim Blum, Shai Fine, Yishay Mansour
2012 A* conf
Distributed Learning, Communication Complexity and Privacy.
COLT
Maria-Florina Balcan, Avrim Blum, Shai Fine, Yishay Mansour
2011 J jnl
Automatic boosting of cross-product coverage using Bayesian networks.
Int. J. Softw. Tools Technol. Transf.
Dorit Baras, Shai Fine, Laurent Fournier, Dan Geiger, Avi Ziv
2011 J jnl
Smarter log analysis.
IBM J. Res. Dev.
Ehud Aharoni, Shai Fine, Yaara Goldschmidt, Ofer Lavi, Oded Margalit, Michal Rosen-Zvi, Lavi Shpigelman
2009 J jnl
Using Bayesian networks and virtual coverage to hit hard-to-reach events.
Int. J. Softw. Tools Technol. Transf.
Shai Fine, Laurent Fournier, Avi Ziv
2008 B conf
A Theory-Based Decision Heuristic for DPLL(T).
FMCAD
Dan Goldwasser, Ofer Strichman, Shai Fine
2008 J jnl
A probabilistic alternative to regression suites.
Theor. Comput. Sci.
Shady Copty, Shai Fine, Shmuel Ur, Elad Yom-Tov, Avi Ziv
2007 J jnl
Active sampling for multiple output identification.
Mach. Learn.
Shai Fine, Yishay Mansour
2006 A* conf
Active Sampling for Multiple Output Identification.
COLT
Shai Fine, Yishay Mansour
2006 A conf
Combining Multiple Heuristics.
STACS
Tzur Sayag, Shai Fine, Yishay Mansour
2006 J jnl
Harnessing Machine Learning to Improve the Success Rate of Stimuli Generation.
IEEE Trans. Computers
Shai Fine, Ari Freund, Itai Jaeger, Yishay Mansour, Yehuda Naveh, Avi Ziv
2005 — conf
Harnessing machine learning to improve the success rate of stimuli generation.
HLDVT
Shai Fine, Ari Freund, Itai Jaeger, Yehuda Naveh, Avi Ziv, Yishay Mansour
2005 — conf
Juru at TREC 2005: Query Prediction in the Terabyte and the Robust Tracks.
TREC
Elad Yom-Tov, David Carmel, Adam Darlow, Dan Pelleg, Shai Errera-Yaakov, Shai Fine
2005 A* conf
Learning to estimate query difficulty: including applications to missing content detection and distributed information retrieval.
SIGIR
Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow
2004 — conf
Enhancing the efficiency of Bayesian network based coverage directed test generation.
HLDVT
Markus Braun, Shai Fine, Avi Ziv
2004 — conf
Juru at TREC 2004: Experiments with Prediction of Query Difficulty.
TREC
Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow, Einat Amitay
2004 — conf
Probabilistic Alternative Regression Suites.
ISoLA (Preliminary proceedings)
Shady Copty, Shai Fine, Shmuel Ur, Avi Ziv
2004 A* conf
Probabilistic regression suites for functional verification.
DAC
Shai Fine, Shmuel Ur, Avi Ziv
2003 A* conf
Coverage directed test generation for functional verification using bayesian networks.
DAC
Shai Fine, Avi Ziv
2003 J jnl
Discriminative Feature Selection via Multiclass Variable Memory Markov Model.
EURASIP J. Adv. Signal Process.
Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby
2003 — conf
Enhancing the control and efficiency of the covering process [logic verification].
HLDVT
Shai Fine, Avi Ziv
2002 Misc conf
Digit recognition in noisy environments via a sequential GMM/SVM system.
ICASSP
Shai Fine, George Saon, Ramesh A. Gopinath
2002 A* conf
Discriminative Feature Selection via Multiclass Variable Memory Markov Model.
ICML
Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby
2002 J jnl
Query by committee, linear separation and random walks.
Theor. Comput. Sci.
Shai Fine, Ran Gilad-Bachrach, Eli Shamir
2001 Misc conf
A hybrid GMM/SVM approach to speaker identification.
ICASSP
Shai Fine, Jirí Navrátil, Ramesh A. Gopinath
2001 J jnl
Efficient SVM Training Using Low-Rank Kernel Representations.
J. Mach. Learn. Res.
Shai Fine, Katya Scheinberg
2001 A conf
Enhancing GMM scores using SVM "hints".
INTERSPEECH
Shai Fine, Jirí Navrátil, Ramesh A. Gopinath
2001 — conf
Incremental Learning and Selective Sampling via Parametric Optimization Framework for SVM.
NIPS
Shai Fine, Katya Scheinberg
1999 — —
Knowledge acquistion in statistical learning theory (רכישת מידע בתורת הלמידה הסטטיסטית.).
Shai Fine
1999 — conf
Query by Committee, Linear Separation and Random Walks.
EuroCOLT
Ran Bachrach, Shai Fine, Eli Shamir
1998 J jnl
The Hierarchical Hidden Markov Model: Analysis and Applications.
Mach. Learn.
Shai Fine, Yoram Singer, Naftali Tishby
1997 — conf
Agnostic Classification of Markovian Sequences.
NIPS
Ran El-Yaniv, Shai Fine, Naftali Tishby