Varun Nair

17 papers A* 1C 2Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2024 — conf
CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants.
NAACL-HLT
Albert Yu Sun, Varun Nair, Elliot Schumacher, Anitha Kannan
2024 — conf
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents.
ClinicalNLP@NAACL
Varun Nair, Elliot Schumacher, Geoffrey J. Tso, Anitha Kannan
2024 — conf
MED-OMIT: Extrinsically-Focused Evaluation Metric for Omissions in Medical Summarization.
ML4H@NeurIPS
Elliot Schumacher, Daniel Rosenthal, Dhruv Naik, Varun Nair, Luladay Price, Geoffrey J. Tso, Anitha Kannan
2023 J jnl
CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants.
CoRR
Albert Yu Sun, Varun Nair, Elliot Schumacher, Anitha Kannan
2023 J jnl
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents.
CoRR
Varun Nair, Elliot Schumacher, Geoffrey J. Tso, Anitha Kannan
2023 J jnl
Extrinsically-Focused Evaluation of Omissions in Medical Summarization.
CoRR
Elliot Schumacher, Daniel Rosenthal, Varun Nair, Luladay Price, Geoffrey J. Tso, Anitha Kannan
2023 — conf
Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models.
ClinicalNLP@ACL
Varun Nair, Elliot Schumacher, Anitha Kannan
2023 J jnl
Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models.
CoRR
Varun Nair, Elliot Schumacher, Anitha Kannan
2021 J jnl
Adding more data does not always help: A study in medical conversation summarization with PEGASUS.
CoRR
Varun Nair, Namit Katariya, Xavier Amatriain, Ilya Valmianski, Anitha Kannan
2021 A* conf
Training Neural Networks with Fixed Sparse Masks.
NeurIPS
Yi-Lin Sung, Varun Nair, Colin Raffel
2021 J jnl
Training Neural Networks with Fixed Sparse Masks.
CoRR
Yi-Lin Sung, Varun Nair, Colin Raffel
2020 C conf
Designing Synthetic Overhead Imagery to Match a Target Geographic Region: Preliminary Results Training Deep Learning Models.
IGARSS
Varun Nair, Paul Rhee, Jichen Yang, Bohao Huang, Kyle Bradbury, Jordan M. Malof
2020 C conf
Mapping Electric Transmission Line Infrastructure from Aerial Imagery with Deep Learning.
IGARSS
Wei Hu, Ben Alexander, Wendell Cathcart, Atsushi Hu, Varun Nair, Lin Zuo, Jordan M. Malof, Leslie M. Collins, Kyle Bradbury
2019 J jnl
Optimisation of NB-IoT deployment for smart energy distribution networks.
EURASIP J. Wirel. Commun. Netw.
Varun Nair, Remco Litjens, Haibin Zhang
2019 J jnl
RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms.
CoRR
Varun Nair, Javier Fuentes Alonso, Tony Beltramelli
2018 — conf
Assessment of the Suitability of NB-IoT Technology for ORM in Smart Grids.
EuCNC
Varun Nair, Remco Litjens, Haibin Zhang
2013 — conf
Video based adaptive road traffic signaling.
ICDSC
S. Indu, Varun Nair, Shashwat Jain, Santanu Chaudhury
requirements.txt
← Index requirements.txt plaintext 
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elasticsearch==8.15.0
magika==1.0.1
modules==1.0.0
pefile==2023.2.7
py7zr==0.22.0
python-magic==0.4.27
pyzipper==0.3.6
py-tlsh==4.7.2
bitstring==4.2.3
Pillow==10.4.0
setuptools==75.1.0
ppdeep==20200505
cryptography==43.0.3
flare-floss==3.1.1
#stringsifter==3.20230711
signify==0.7.1
yara-x==1.9.0
xxhash==3.6.0
git+https://github.com/wbond/oscrypto.git@1547f535001ba568b239b8797465536759c742a3
pycryptodomex==3.20.0
redis==6.4.0
clickhouse-connect==0.8.13
minio==7.2.15
requests==2.33.1
pyelftools==0.32
python-dotenv
psutil
numpy
mmh3
blake3
machofile==2026.02.10
lief==0.17.3
androguard>=4.1
permhash
jsbeautifier>=1.14.0
chardet==7.4.1
pyjsparser>=2.7.1

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