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09/16/2023
GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy
Due to the inherent uncertainty in their deformability during motion, pr...
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07/24/2023
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
Pre-trained large language models (LLMs) have recently achieved better g...
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06/14/2023
GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy
Due to the inherent uncertainty in their deformability during motion, pr...
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06/13/2023
Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model
Text-to-image generative models have attracted rising attention for flex...
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06/06/2023
DreamSparse: Escaping from Plato's Cave with 2D Frozen Diffusion Model Given Sparse Views
Synthesizing novel view images from a few views is a challenging but pra...
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05/31/2023
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization
We address the problem of biased gradient estimation in deep Boltzmann m...
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05/22/2023
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
Mirror descent value iteration (MDVI), an abstraction of Kullback-Leible...
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05/19/2023
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
The progress of autonomous web navigation has been hindered by the depen...
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12/29/2022
Multimodal Sequential Generative Models for Semi-Supervised Language Instruction Following
Agents that can follow language instructions are expected to be useful i...
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11/28/2022
Realtime Fewshot Portrait Stylization Based On Geometric Alignment
This paper presents a portrait stylization method designed for real-time...
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11/28/2022
Collective Intelligence for Object Manipulation with Mobile Robots
While natural systems often present collective intelligence that allows ...
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11/25/2022
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
The rise of generalist large-scale models in natural language and vision...
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09/15/2022
Langevin Autoencoders for Learning Deep Latent Variable Models
Markov chain Monte Carlo (MCMC), such as Langevin dynamics, is valid for...
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08/13/2022
Recognition of All Categories of Entities by AI
Human-level AI will have significant impacts on human society. However, ...
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08/08/2022
Deep Billboards towards Lossless Real2Sim in Virtual Reality
An aspirational goal for virtual reality (VR) is to bring in a rich dive...
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07/20/2022
World Robot Challenge 2020 – Partner Robot: A Data-Driven Approach for Room Tidying with Mobile Manipulator
Tidying up a household environment using a mobile manipulator poses vari...
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07/05/2022
A survey of multimodal deep generative models
Multimodal learning is a framework for building models that make predict...
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06/28/2022
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment
Vision Transformer (ViT) is becoming more popular in image processing. S...
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05/24/2022
Large Language Models are Zero-Shot Reasoners
Pretrained large language models (LLMs) are widely used in many sub-fiel...
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12/01/2021
Tool as Embodiment for Recursive Manipulation
Humans and many animals exhibit a robust capability to manipulate divers...
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11/25/2021
VaxNeRF: Revisiting the Classic for Voxel-Accelerated Neural Radiance Field
Neural Radiance Field (NeRF) is a popular method in data-driven 3D recon...
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11/25/2021
Amortized Prompt: Lightweight Fine-Tuning for CLIP in Domain Generalization
Domain generalization (DG) is a difficult transfer learning problem aimi...
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11/19/2021
Generalized Decision Transformer for Offline Hindsight Information Matching
How to extract as much learning signal from each trajectory data has bee...
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10/13/2021
Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following
An interactive instruction following task has been proposed as a benchma...
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09/10/2021
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages
Reproducible benchmarks are crucial in driving progress of machine trans...
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07/28/2021
Pixyz: a library for developing deep generative models
With the recent rapid progress in the study of deep generative models (D...
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05/14/2021
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL
There is considerable interest in designing meta-reinforcement learning ...
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03/31/2021
Identifying Co-Adaptation of Algorithmic and Implementational Innovations in Deep Reinforcement Learning: A Taxonomy and Case Study of Inference-based Algorithms
Recently many algorithms were devised for reinforcement learning (RL) wi...
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03/23/2021
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
Progress in deep reinforcement learning (RL) research is largely enabled...
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02/17/2021
Group Equivariant Conditional Neural Processes
We present the group equivariant conditional neural process (EquivCNP), ...
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01/11/2021
Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks
This paper introduces our methodology to estimate sidewalk accessibiliti...
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01/01/2021
Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers
The advent of the Transformer can arguably be described as a driving for...
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10/07/2020
VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling
In this paper, we tackle the task of definition modeling, where the goal...
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07/30/2020
Epipolar-Guided Deep Object Matching for Scene Change Detection
This paper describes a viewpoint-robust object-based change detection ne...
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06/05/2020
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
Most reinforcement learning (RL) algorithms assume online access to the ...
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05/27/2020
A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews
Despite the recent advances in opinion mining for written reviews, few w...
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04/20/2020
Variational Inference for Learning Representations of Natural Language Edits
Document editing has become a pervasive component of production of infor...
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03/09/2020
Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages
The contrast between the need for large amounts of data for current Natu...
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09/19/2019
An Edit-centric Approach for Wikipedia Article Quality Assessment
We propose an edit-centric approach to assess Wikipedia article quality ...
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04/29/2019
Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization
Learning domain-invariant representation is a dominant approach for doma...
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04/11/2019
Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study
In this paper we study how different ways of combining character and wor...
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09/26/2018
Deep contextualized word representations for detecting sarcasm and irony
Predicting context-dependent and non-literal utterances like sarcastic a...
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08/27/2018
IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations
In this paper we describe our system designed for the WASSA 2018 Implici...
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06/12/2018
Learning to Automatically Generate Fill-In-The-Blank Quizzes
In this paper we formalize the problem automatic fill-in-the-blank quest...
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04/22/2018
IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets
In this paper we introduce our system for the task of Irony detection in...
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04/06/2018
Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder
Recent advances in neural autoregressive models have improve the perform...
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01/26/2018
Improving Bi-directional Generation between Different Modalities with Variational Autoencoders
We investigate deep generative models that can exchange multiple modalit...
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08/18/2017
EmoAtt at EmoInt-2017: Inner attention sentence embedding for Emotion Intensity
In this paper we describe a deep learning system that has been designed ...
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08/08/2017
Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNN
Video reviews are the natural evolution of written product reviews. In t...
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07/11/2017