abhishekdas.com

Website beoordeling abhishekdas.com

Abhishek Das

 Gegenereerd op April 10 2026 08:56 AM

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De score is 66/100

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Title

Abhishek Das

Lengte : 12

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Description

Research Scientist at Facebook AI Research. Learning to build machines that can see, think, talk and act.

Lengte : 105

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Keywords

yoda, abhshkdz, abhishek das, sdslabs, jekyll, hacker, developer, pianist, iit roorkee, abdasuee, deep learning, computer vision, neural networks, georgia tech, virginia tech, machine learning

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Property Content
url http://abhishekdas.com/
site_name Abhishek Das
image http://abhishekdas.com/img/avatar.jpg
image:url http://abhishekdas.com/img/avatar.jpg

Headings

H1 H2 H3 H4 H5 H6
7 46 0 0 0 0
  • [H1] Abhishek Das
  • [H1]
  • [H1] News
  • [H1] Bio
  • [H1] Publications
  • [H1] Talks
  • [H1] Side projects
  • [H2] Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
  • [H2] The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air Capture
  • [H2] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
  • [H2] AdsorbML: Accelerating Adsorption Energy Calculations with Machine Learning
  • [H2] PIRLNav: Pretraining with Imitation and RL Finetuning for ObjectNav
  • [H2] The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis
  • [H2] GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets
  • [H2] Spherical Channels for Modeling Atomic Interactions
  • [H2] Open Challenges in Developing Generalizable Large Scale Machine Learning Models for Catalyst Discovery
  • [H2] Transfer learning using attentions across atomic systems with graph neural networks (TAAG)
  • [H2] Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale
  • [H2] Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
  • [H2] Rotation Invariant Graph Neural Networks using Spin Convolutions
  • [H2] Automated Video Description for Blind and Low Vision Users
  • [H2] Auxiliary Tasks and Exploration Enable ObjectNav
  • [H2] ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations
  • [H2] The Open Catalyst 2020 (OC20) Dataset and Community Challenges
  • [H2] An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage
  • [H2] Auxiliary Tasks Speed Up Learning PointGoal Navigation
  • [H2] Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline
  • [H2] Building agents that can see, talk, and act
  • [H2] Probing Emergent Semantics in Predictive Agents via Question Answering
  • [H2] Feel The Music: Automatically Generating A Dance For An Input Song
  • [H2] IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL
  • [H2] Improving Generative Visual Dialog by Answering Diverse Questions
  • [H2] TarMAC: Targeted Multi-Agent Communication
  • [H2] Embodied Question Answering in Photorealistic Environments with Point Clouds
  • [H2] Audio-Visual Scene-Aware Dialog
  • [H2] End-to-end Audio Visual Scene-Aware Dialog Using Multimodal Attention-based Video Features
  • [H2] Neural Modular Control for Embodied Question Answering
  • [H2] Embodied Question Answering
  • [H2] Evaluating Visual Conversational Agents via Cooperative Human-AI Games
  • [H2] Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning
  • [H2] Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
  • [H2] Visual Dialog
  • [H2] Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?
  • [H2] aipaygrad.es
  • [H2] aideadlin.es
  • [H2] neural-vqa-attention
  • [H2] neural-vqa
  • [H2] Erdős
  • [H2] graf
  • [H2] HackFlowy
  • [H2] AirMaps
  • [H2] HackView
  • [H2] 8tracks-downloader

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SEO Keywords

Keywords Cloud

batra das video zitnick code visual learning paper abhishek lawrence

Keywords Consistentie

Keyword Content Title Keywords Description Headings
das 26
abhishek 26
paper 24
code 18
video 13

Bruikbaarheid

Url

Domein : abhishekdas.com

Lengte : 15

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