Anish Acharya

According to our database, Anish Acharya authored at least 24 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Neural Distributed Source Coding.

Jay Whang, Alliot Nagle, Anish Acharya, Hyeji Kim, Alexandros G. Dimakis

IEEE J. Sel. Areas Inf. Theory, 2024

Geometric Median (GM) Matching for Robust Data Pruning.

Anish Acharya, Inderjit S. Dhillon, Sujay Sanghavi

CoRR, 2024

Contrastive Approach to Prior Free Positive Unlabeled Learning.

Anish Acharya, Sujay Sanghavi

CoRR, 2024

2022

On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Federated Learning.

Abolfazl Hashemi, Anish Acharya, Rudrajit Das, Haris Vikalo, Sujay Sanghavi, Inderjit S. Dhillon

IEEE Trans. Parallel Distributed Syst., 2022

Positive Unlabeled Contrastive Learning.

Anish Acharya, Sujay Sanghavi, Li Jing, Bhargav Bhushanam, Dhruv Choudhary, Michael G. Rabbat, Inderjit S. Dhillon

CoRR, 2022

Faster non-convex federated learning via global and local momentum.

Rudrajit Das, Anish Acharya, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu

Proceedings of the Uncertainty in Artificial Intelligence, 2022

LDKP - A Dataset for Identifying Keyphrases from Long Scientific Documents.

Debanjan Mahata, Navneet Agarwal, Dibya Gautam, Amardeep Kumar, Swapnil Parekh, Yaman Kumar Singla, Anish Acharya, Rajiv Ratn Shah

Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

Robust Training in High Dimensions via Block Coordinate Geometric Median Descent.

Anish Acharya, Abolfazl Hashemi, Prateek Jain, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

DISCO : efficient unsupervised decoding for discrete natural language problems via convex relaxation.

Anish Acharya, Rudrajit Das

CoRR, 2021

Neural Distributed Source Coding.

Jay Whang, Anish Acharya, Hyeji Kim, Alexandros G. Dimakis

CoRR, 2021

GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversations.

Laiba Mehnaz, Debanjan Mahata, Rakesh Gosangi, Uma Sushmitha Gunturi, Riya Jain, Gauri Gupta, Amardeep Kumar, Isabelle G. Lee, Anish Acharya, Rajiv Ratn Shah

CoRR, 2021

Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems.

Anish Acharya, Suranjit Adhikari, Sanchit Agarwal, Vincent Auvray, Nehal Belgamwar, Arijit Biswas, Shubhra Chandra, Tagyoung Chung, Maryam Fazel-Zarandi, Raefer Gabriel, Shuyang Gao, Rahul Goel, Dilek Hakkani-Tür, Jan Jezabek, Abhay Jha, Jiun-Yu Kao, Prakash Krishnan, Peter Ku, Anuj Goyal, Chien-Wei Lin, Qing Liu, Arindam Mandal, Angeliki Metallinou, Vishal Ishwar Naik, Yi Pan, Shachi Paul, Vittorio Perera, Abhishek Sethi, Minmin Shen, Nikko Strom, Eddie Wang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021

GupShup: Summarizing Open-Domain Code-Switched Conversations.

Laiba Mehnaz, Debanjan Mahata, Rakesh Gosangi, Uma Sushmitha Gunturi, Riya Jain, Gauri Gupta, Amardeep Kumar, Isabelle G. Lee, Anish Acharya, Rajiv Ratn Shah

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization.

Abolfazl Hashemi, Anish Acharya, Rudrajit Das, Haris Vikalo, Sujay Sanghavi, Inderjit S. Dhillon

CoRR, 2020

2019

Detecting the Trend in Musical Taste over the Decade - A Novel Feature Extraction Algorithm to Classify Musical Content with Simple Features.

Anish Acharya

CoRR, 2019

Online Embedding Compression for Text Classification Using Low Rank Matrix Factorization.

Anish Acharya, Rahul Goel, Angeliki Metallinou, Inderjit S. Dhillon

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2016

On Image segmentation using Fractional Gradients-Learning Model Parameters using Approximate Marginal Inference.

Anish Acharya, Uddipan Mukherjee, Charless C. Fowlkes

CoRR, 2016

2014

Extending the concept of analog Butterworth filter for fractional order systems.

Anish Acharya, Saptarshi Das, Indranil Pan, Shantanu Das

Signal Process., 2014

Simulation studies on the design of optimum PID controllers to suppress chaotic oscillations in a family of Lorenz-like multi-wing attractors.

Saptarshi Das, Anish Acharya, Indranil Pan

Math. Comput. Simul., 2014

Are We Ready for Driver-less Vehicles? Security vs. Privacy- A Social Perspective.

Anish Acharya

CoRR, 2014

Template Matching based Object Detection Using HOG Feature Pyramid.

Anish Acharya

CoRR, 2014

2012

Stability Analysis Of Delayed System Using Bodes Integral

Anish Acharya, Debatri Mitra, Kaushik Halder

CoRR, 2012

Identification of Nonlinear Systems From the Knowledge Around Different Operating Conditions: A Feed-Forward Multi-Layer ANN Based Approach

Sayan Saha, Saptarshi Das, Anish Acharya, Abhishek Kumar, Sumit Mukherjee, Indranil Pan, Amitava Gupta

CoRR, 2012

Optimized Quality Factor of Fractional Order Analog Filters with Band-Pass and Band-Stop Characteristics

Anindya Pakhira, Saptarshi Das, Anish Acharya, Indranil Pan, Suman Saha

CoRR, 2012