89 citations · 208 across the 26 of their papers we have counts for
26 papers
RoPoLL: Robust Panel of LLM Judges
Anish Acharya, Kris W Pan, Brian Verkhovsky
The LLM Jury, a Panel of LLM Evaluators (PoLL) reporting consensus scores, has become a practical alternative to single-judge LLM evaluation, yet its statistical behavior remains p…
Geometric Median Matching for Robust k-Subset Selection from Noisy Data
Anish Acharya, Sujay Sanghavi, Alexandros G. Dimakis +1
Data pruning -- the combinatorial task of selecting a small and representative subset from a large dataset, is crucial for mitigating the enormous computational costs associated wi…
Geometric Median (GM) Matching for Robust Data Pruning
Anish Acharya, Inderjit S Dhillon, Sujay Sanghavi
Large-scale data collections in the wild, are invariably noisy. Thus developing data pruning strategies that remain robust even in the presence of corruption is critical in practic…
Understanding Contrastive Representation Learning from Positive Unlabeled (PU) Data
Anish Acharya, Li Jing, Bhargav Bhushanam +4
Pretext Invariant Representation Learning (PIRL) followed by Supervised Fine-Tuning (SFT) has become a standard paradigm for learning with limited labels. We extend this approach t…
Tight-binding model subject to conditional resets at random times
Anish Acharya, Shamik Gupta
We investigate the dynamics of a quantum system subjected to a time-dependent and conditional resetting protocol. Namely, we ask: what happens when the unitary evolution of the sys…
Positive Unlabeled Contrastive Learning
Anish Acharya, Sujay Sanghavi, Li Jing +4
Self-supervised pretraining on unlabeled data followed by supervised fine-tuning on labeled data is a popular paradigm for learning from limited labeled examples. We extend this pa…
LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents
Debanjan Mahata, Navneet Agarwal, Dibya Gautam +5
Identifying keyphrases (KPs) from text documents is a fundamental task in natural language processing and information retrieval. Vast majority of the benchmark datasets for this ta…
DISCO : efficient unsupervised decoding for discrete natural language problems via convex relaxation
Anish Acharya, Rudrajit Das
In this paper we study test time decoding; an ubiquitous step in almost all sequential text generation task spanning across a wide array of natural language processing (NLP) proble…
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent
Anish Acharya, Abolfazl Hashemi, Prateek Jain +3
Geometric median (\textsc{Gm}) is a classical method in statistics for achieving a robust estimation of the uncorrupted data; under gross corruption, it achieves the optimal breakd…
Neural Distributed Source Coding
Jay Whang, Alliot Nagle, Anish Acharya +2
Distributed source coding (DSC) is the task of encoding an input in the absence of correlated side information that is only available to the decoder. Remarkably, Slepian and Wolf s…
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems
Anish Acharya, Suranjit Adhikari, Sanchit Agarwal +28
Traditional goal-oriented dialogue systems rely on various components such as natural language understanding, dialogue state tracking, policy learning and response generation. Trai…
GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversations
Laiba Mehnaz, Debanjan Mahata, Rakesh Gosangi +7
Code-switching is the communication phenomenon where speakers switch between different languages during a conversation. With the widespread adoption of conversational agents and ch…
Faster Non-Convex Federated Learning via Global and Local Momentum
Rudrajit Das, Anish Acharya, Abolfazl Hashemi +3
We propose \texttt{FedGLOMO}, a novel federated learning (FL) algorithm with an iteration complexity of to converge to an -stationary point (i.e., $\math…
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization
Abolfazl Hashemi, Anish Acharya, Rudrajit Das +3
In decentralized optimization, it is common algorithmic practice to have nodes interleave (local) gradient descent iterations with gossip (i.e. averaging over the network) steps. M…
Detecting the Trend in Musical Taste over the Decade -- A Novel Feature Extraction Algorithm to Classify Musical Content with Simple Features
Anish Acharya
This work proposes a novel feature selection algorithm to classify Songs into different groups. Classification of musical content is often a non-trivial job and still relatively le…
Online Embedding Compression for Text Classification using Low Rank Matrix Factorization
Anish Acharya, Rahul Goel, Angeliki Metallinou +1
Deep learning models have become state of the art for natural language processing (NLP) tasks, however deploying these models in production system poses significant memory constrai…
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
Multi-wing chaotic attractors are highly complex nonlinear dynamical systems with higher number of index-2 equilibrium points. Due to the presence of several equilibrium points, ra…
On Image segmentation using Fractional Gradients-Learning Model Parameters using Approximate Marginal Inference
Anish Acharya, Uddipan Mukherjee, Charless Fowlkes
Estimates of image gradients play a ubiquitous role in image segmentation and classification problems since gradients directly relate to the boundaries or the edges of a scene. Thi…
Are We Ready for Driver-less Vehicles? Security vs. Privacy- A Social Perspective
Anish Acharya
At this moment Autonomous cars are probably the biggest and most talked about technology in the Robotics Research Community. In spite of great technological advances over past few…
Template Matching based Object Detection Using HOG Feature Pyramid
Anish Acharya
This article provides a step by step development of designing a Object Detection scheme using the HOG based Feature Pyramid aligned with the concept of Template Matching.
A Complete Review of Controlling the FDR in a Multiple Comparison Problem Framework -- The Benjamini-Hochberg Algorithm
Anish Acharya
This paper is a review of the popular Benjamini Hochberg Method and other related useful methods of Multiple Hypothesis testing. This is written with the purpose of serving a short…
Stability Analysis Of Delayed System Using Bodes Integral
Anish Acharya, Debatri Mitra, Kaushik Halder
The PID controller parameters can be adjusted in such a manner that it gives the desired frequency response and the results are found using the Bodes integral formula in order to a…
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 +4
The paper investigates nonlinear system identification using system output data at various linearized operating points. A feed-forward multi-layer Artificial Neural Network (ANN) b…
Optimized Quality Factor of Fractional Order Analog Filters with Band-Pass and Band-Stop Characteristics
Anindya Pakhira, Saptarshi Das, Anish Acharya +2
Fractional order (FO) filters have been investigated in this paper, with band-pass (BP) and band-stop (BS) characteristics, which can not be achieved with conventional integer orde…