46 citations · 78 across the 15 of their papers we have counts for
16 papers
Accessibility in Information Retrieval
Leif Azzopardi, Vishwa Vinay
This paper introduces the concept of accessibility from the field of transportation planning and adopts it within the context of Information Retrieval (IR). An analogy is drawn bet…
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections
Nihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari +2
Image search engines enable the retrieval of images relevant to a query image. In this work, we consider the setting where a query for similar images is derived from a collection o…
Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions
Gaurav Verma, Vishwa Vinay, Ryan A. Rossi +1
As multimodal learning finds applications in a wide variety of high-stakes societal tasks, investigating their robustness becomes important. Existing work has focused on understand…
GEMS: Scene Expansion using Generative Models of Graphs
Rishi Agarwal, Tirupati Saketh Chandra, Vaidehi Patil +3
Applications based on image retrieval require editing and associating in intermediate spaces that are representative of the high-level concepts like objects and their relationships…
Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities
Vishwa Vinay, Manoj Kilaru, David Arbour
Search engines and recommendation systems attempt to continually improve the quality of the experience they afford to their users. Refining the ranker that produces the lists displ…
CyCLIP: Cyclic Contrastive Language-Image Pretraining
Shashank Goel, Hritik Bansal, Sumit Bhatia +3
Recent advances in contrastive representation learning over paired image-text data have led to models such as CLIP that achieve state-of-the-art performance for zero-shot classific…
Curriculum Learning for Dense Retrieval Distillation
Hansi Zeng, Hamed Zamani, Vishwa Vinay
Recent work has shown that more effective dense retrieval models can be obtained by distilling ranking knowledge from an existing base re-ranking model. In this paper, we propose a…
Gaudí: Conversational Interactions with Deep Representations to Generate Image Collections
Victor S. Bursztyn, Jennifer Healey, Vishwa Vinay
Based on recent advances in realistic language modeling (GPT-3) and cross-modal representations (CLIP), Gaudí was developed to help designers search for inspirational images using…
Generating Compositional Color Representations from Text
Paridhi Maheshwari, Nihal Jain, Praneetha Vaddamanu +3
We consider the cross-modal task of producing color representations for text phrases. Motivated by the fact that a significant fraction of user queries on an image search engine fo…
Scene Graph Embeddings Using Relative Similarity Supervision
Paridhi Maheshwari, Ritwick Chaudhry, Vishwa Vinay
Scene graphs are a powerful structured representation of the underlying content of images, and embeddings derived from them have been shown to be useful in multiple downstream task…
Botcha: Detecting Malicious Non-Human Traffic in the Wild
Sunny Dhamnani, Ritwik Sinha, Vishwa Vinay +2
Malicious bots make up about a quarter of all traffic on the web, and degrade the performance of personalization and recommendation algorithms that operate on e-commerce sites. Pos…
Learning Colour Representations of Search Queries
Paridhi Maheshwari, Manoj Ghuhan, Vishwa Vinay
Image search engines rely on appropriately designed ranking features that capture various aspects of the content semantics as well as the historic popularity. In this work, we cons…
"To Target or Not to Target": Identification and Analysis of Abusive Text Using Ensemble of Classifiers
Gaurav Verma, Niyati Chhaya, Vishwa Vinay
With rising concern around abusive and hateful behavior on social media platforms, we present an ensemble learning method to identify and analyze the linguistic properties of such…
Using Image Captions and Multitask Learning for Recommending Query Reformulations
Gaurav Verma, Vishwa Vinay, Sahil Bansal +3
Interactive search sessions often contain multiple queries, where the user submits a reformulated version of the previous query in response to the original results. We aim to enhan…
Modeling Time to Open of Emails with a Latent State for User Engagement Level
Moumita Sinha, Vishwa Vinay, Harvineet Singh
Email messages have been an important mode of communication, not only for work, but also for social interactions and marketing. When messages have time sensitive information, it be…
Offline Evaluation of Ranking Policies with Click Models
Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton +3
Many web systems rank and present a list of items to users, from recommender systems to search and advertising. An important problem in practice is to evaluate new ranking policies…