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09/08/2023
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models
Vision-language models (VLMs) have recently demonstrated strong efficacy...
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06/04/2023
Predicting Information Pathways Across Online Communities
The problem of community-level information pathway prediction (CLIPP) ai...
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04/07/2023
Probing Conceptual Understanding of Large Visual-Language Models
We present a novel framework for probing and improving relational, compo...
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09/29/2022
Unpacking Large Language Models with Conceptual Consistency
If a Large Language Model (LLM) answers "yes" to the question "Are mount...
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08/09/2022
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2
One approach to meet the challenges of deep lifelong reinforcement learn...
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07/15/2022
Towards Understanding Confusion and Affective States Under Communication Failures in Voice-Based Human-Machine Interaction
We present a series of two studies conducted to understand user's affect...
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04/08/2022
Broadening AI Ethics Narratives: An Indic Art View
Incorporating interdisciplinary perspectives is seen as an essential ste...
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02/11/2022
Detecting out-of-context objects using contextual cues
This paper presents an approach to detect out-of-context (OOC) objects i...
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10/22/2021
Challenges in Procedural Multimodal Machine Comprehension:A Novel Way To Benchmark
We focus on Multimodal Machine Reading Comprehension (M3C) where a model...
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06/08/2021
Comprehension Based Question Answering using Bloom's Taxonomy
Current pre-trained language models have lots of knowledge, but a more l...
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04/20/2021
Towards Solving Multimodal Comprehension
This paper targets the problem of procedural multimodal machine comprehe...
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12/03/2020
Detecting Trojaned DNNs Using Counterfactual Attributions
We target the problem of detecting Trojans or backdoors in DNNs. Such mo...
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11/21/2020
Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings
We improve zero-shot learning (ZSL) by incorporating common-sense knowle...
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11/19/2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning
Few-Shot Learning (FSL) aims to improve a model's generalization capabil...
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07/14/2020
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer
We introduce the eigentask framework for lifelong learning. An eigentask...
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03/16/2020
Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks
We introduce Deep Adaptive Semantic Logic (DASL), a novel framework for ...
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03/08/2020
Progressive Growing of Neural ODEs
Neural Ordinary Differential Equations (NODEs) have proven to be a power...
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09/10/2019
Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation
While models for Visual Question Answering (VQA) have steadily improved ...
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07/14/2019
FoodX-251: A Dataset for Fine-grained Food Classification
Food classification is a challenging problem due to the large number of ...
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05/17/2019
Deep Unified Multimodal Embeddings for Understanding both Content and Users in Social Media Networks
There has been an explosion of multimodal content generated on social me...
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05/08/2019
Data-Efficient Mutual Information Neural Estimator
Measuring Mutual Information (MI) between high-dimensional, continuous, ...
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04/19/2019
Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts
Computing author intent from multimodal data like Instagram posts requir...
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04/05/2019
Lucid Explanations Help: Using a Human-AI Image-Guessing Game to Evaluate Machine Explanation Helpfulness
While there have been many proposals on how to make AI algorithms more t...
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03/27/2019
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment
We address the problem of grounding free-form textual phrases by using w...
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11/26/2018
Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation
We propose novel Stacked Spatio-Temporal Graph Convolutional Networks (S...
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07/04/2018
Understanding Visual Ads by Aligning Symbols and Objects using Co-Attention
We tackle the problem of understanding visual ads where given an ad imag...
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04/12/2018
Zero-Shot Object Detection
We introduce and tackle the problem of zero-shot object detection (ZSD),...
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12/23/2017
