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09/07/2023
ImageBind-LLM: Multi-modality Instruction Tuning
We present ImageBind-LLM, a multi-modality instruction tuning method of ...
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09/06/2023
Robotic Table Tennis: A Case Study into a High Speed Learning System
We present a deep-dive into a real-world robotic learning system that, i...
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08/25/2023
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
Large language models (LLMs) have revolutionized natural language proces...
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08/15/2023
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models
In this paper, we investigate the in-context learning ability of retriev...
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08/08/2023
When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study
Super Resolution (SR) and Camouflaged Object Detection (COD) are two hot...
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08/07/2023
Tiny LVLM-eHub: Early Multimodal Experiments with Bard
Recent advancements in Large Vision-Language Models (LVLMs) have demonst...
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07/28/2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
We study how vision-language models trained on Internet-scale data can b...
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06/29/2023
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms
A major challenge to deploying robots widely is navigation in human-popu...
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06/27/2023
Rethinking Cross-Entropy Loss for Stereo Matching Networks
Despite the great success of deep learning in stereo matching, recoverin...
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06/15/2023
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models
Large Vision-Language Models (LVLMs) have recently played a dominant rol...
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06/14/2023
Language to Rewards for Robotic Skill Synthesis
Large language models (LLMs) have demonstrated exciting progress in acqu...
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05/29/2023
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers
Token compression aims to speed up large-scale vision transformers (e.g....
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05/23/2023
MaskCL: Semantic Mask-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change
This paper considers a novel and challenging problem: unsupervised long-...
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04/21/2023
Advances in Deep Concealed Scene Understanding
Concealed scene understanding (CSU) is a hot computer vision topic aimin...
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04/13/2023
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study
Large decoder-only language models (LMs) can be largely improved in term...
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04/12/2023
SAM Struggles in Concealed Scenes – Empirical Study on "Segment Anything"
Segmenting anything is a ground-breaking step toward artificial general ...
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02/11/2023
High Recovery with Fewer Injections: Practical Binary Volumetric Injection Attacks against Dynamic Searchable Encryption
Searchable symmetric encryption enables private queries over an encrypte...
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12/13/2022
RT-1: Robotics Transformer for Real-World Control at Scale
By transferring knowledge from large, diverse, task-agnostic datasets, m...
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11/11/2022
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms
We describe the current content moderation strategy employed by Meta to ...
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10/25/2022
Evaluating Parameter Efficient Learning for Generation
Parameter efficient learning methods (PERMs) have recently gained signif...
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10/19/2022
Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization
We propose a framework to enable multipurpose assistive mobile robots to...
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10/19/2022
RoleSeer: Understanding Informal Social Role Changes in MMORPGs via Visual Analytics
Massively multiplayer online role-playing games create virtual communiti...
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10/12/2022
Context Generation Improves Open Domain Question Answering
Closed-book question answering (QA) requires a model to directly answer ...
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10/09/2022
A Transformer-based deep neural network model for SSVEP classification
Steady-state visual evoked potential (SSVEP) is one of the most commonly...
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09/22/2022
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation
Despite decades of research, existing navigation systems still face real...
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09/16/2022
Code as Policies: Language Model Programs for Embodied Control
Large language models (LLMs) trained on code completion have been shown ...
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08/14/2022
Conformal Navigation Transformations with Application to Robot Navigation in Complex Workspaces
Navigation functions provide both path and motion planning, which can be...
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06/17/2022
VGSwarm: A Vision-based Gene Regulation Network for UAVs Swarm Behavior Emergence
UAVs (Unmanned Aerial Vehicles) dynamic encirclement is an emerging fiel...
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06/13/2022
Multimodal Learning with Transformers: A Survey
Transformer is a promising neural network learner, and has achieved grea...
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06/09/2022
Factuality Enhanced Language Models for Open-Ended Text Generation
Pretrained language models (LMs) are susceptible to generate text with n...
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05/18/2022
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner
Large language models have achieved high performance on various question...
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05/14/2022
Learning to Reorient Objects with Stable Placements Afforded by Extrinsic Supports
Reorienting objects using extrinsic supporting items on the working plat...
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05/14/2022
BiAIT*: Symmetrical Bidirectional Optimal Path Planning with Adaptive Heuristic
Adaptively Informed Trees (AIT*) develops the problem-specific heuristic...
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04/18/2022
TOD-CNN: An Effective Convolutional Neural Network for Tiny Object Detection in Sperm Videos
The detection of tiny objects in microscopic videos is a problematic poi...
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04/17/2022
Attention Mechanism based Cognition-level Scene Understanding
Given a question-image input, the Visual Commonsense Reasoning (VCR) mod...
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04/04/2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Large language models can encode a wealth of semantic knowledge about th...
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04/02/2022
A UCB-based Tree Search Approach to Joint Verification-Correction Strategy for Large Scale Systems
Verification planning is a sequential decision-making problem that speci...
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02/14/2022
QA4QG: Using Question Answering to Constrain Multi-Hop Question Generation
Multi-hop question generation (MQG) aims to generate complex questions w...
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02/08/2022
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models
Pre-trained language models (LMs) are shown to easily generate toxic lan...
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02/08/2022
How to Understand Masked Autoencoders
"Masked Autoencoders (MAE) Are Scalable Vision Learners" revolutionizes ...
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02/07/2022
Unsupervised Long-Term Person Re-Identification with Clothes Change
We investigate unsupervised person re-identification (Re-ID) with clothe...
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12/19/2021
Android-COCO: Android Malware Detection with Graph Neural Network for Byte- and Native-Code
With the popularity of Android growing exponentially, the amount of malw...
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12/19/2021
hybrid-Flacon: Hybrid Pattern Malware Detection and Categorization with Network Traffic andProgram Code
Nowadays, Android is the most dominant operating system in the mobile ec...
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12/12/2021
ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation
Code-switching is a speech phenomenon when a speaker switches language d...
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12/04/2021
Hierarchical Neural Data Synthesis for Semantic Parsing
Semantic parsing datasets are expensive to collect. Moreover, even the q...
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11/04/2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
Reinforcement learning can train policies that effectively perform compl...
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10/20/2021
Contrastive Document Representation Learning with Graph Attention Networks
Recent progress in pretrained Transformer-based language models has show...
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10/12/2021
Attention-guided Generative Models for Extractive Question Answering
We propose a novel method for applying Transformer models to extractive ...
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09/27/2021
Multiplicative Position-aware Transformer Models for Language Understanding
Transformer models, which leverage architectural improvements like self-...
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09/24/2021