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09/15/2023
Multiply robust estimation of causal effects using linked data
Unmeasured confounding presents a common challenge in observational stud...
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09/05/2023
Identifying Causal Effects Using Instrumental Variables from the Auxiliary Population
Instrumental variable approaches have gained popularity for estimating c...
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09/02/2023
Towards Code Watermarking with Dual-Channel Transformations
The expansion of the open source community and the rise of large languag...
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08/31/2023
Visual-Guided Mesh Repair
Mesh repair is a long-standing challenge in computer graphics and relate...
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08/07/2023
A Hybrid CNN-Transformer Architecture with Frequency Domain Contrastive Learning for Image Deraining
Image deraining is a challenging task that involves restoring degraded i...
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08/02/2023
A Hyper-pixel-wise Contrastive Learning Augmented Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images and Digital Elevation Model Data
As a harzard disaster, landslide often brings tremendous losses to human...
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06/14/2023
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
The extraordinary ability of generative models to generate photographic ...
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06/09/2023
Finite element interpolated neural networks for solving forward and inverse problems
We propose a general framework for solving forward and inverse problems ...
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06/07/2023
NeMO: Neural Map Growing System for Spatiotemporal Fusion in Bird's-Eye-View and BDD-Map Benchmark
Vision-centric Bird's-Eye View (BEV) representation is essential for aut...
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06/03/2023
Balancing Logit Variation for Long-tailed Semantic Segmentation
Semantic segmentation usually suffers from a long-tail data distribution...
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05/29/2023
Contextual Object Detection with Multimodal Large Language Models
Recent Multimodal Large Language Models (MLLMs) are remarkable in vision...
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05/28/2023
Cross-Domain Policy Adaptation via Value-Guided Data Filtering
Generalizing policies across different domains with dynamics mismatch po...
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05/28/2023
On the Value of Myopic Behavior in Policy Reuse
Leveraging learned strategies in unfamiliar scenarios is fundamental to ...
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05/25/2023
Language-Guided 3D Object Detection in Point Cloud for Autonomous Driving
This paper addresses the problem of 3D referring expression comprehensio...
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05/23/2023
Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation
Domain adaptive semantic segmentation aims to transfer knowledge from a ...
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05/21/2023
Towards Tracing Code Provenance with Code Watermarking
Recent advances in large language models have raised wide concern in gen...
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05/19/2023
Phonetic and Prosody-aware Self-supervised Learning Approach for Non-native Fluency Scoring
Speech fluency/disfluency can be evaluated by analyzing a range of phone...
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04/13/2023
TransHP: Image Classification with Hierarchical Prompting
This paper explores a hierarchical prompting mechanism for the hierarchi...
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03/31/2023
Siamese DETR
Recent self-supervised methods are mainly designed for representation le...
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03/29/2023
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks
The development of language models have moved from encoder-decoder to de...
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03/23/2023
Frame-Level Multi-Label Playing Technique Detection Using Multi-Scale Network and Self-Attention Mechanism
Instrument playing technique (IPT) is a key element of musical presentat...
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03/22/2023
Correlational Image Modeling for Self-Supervised Visual Pre-Training
We introduce Correlational Image Modeling (CIM), a novel and surprisingl...
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03/17/2023
Proximal Causal Inference without Uniqueness Assumptions
We consider identification and inference about a counterfactual outcome ...
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03/15/2023
SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers
Self-supervised pre-training and transformer-based networks have signifi...
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03/07/2023
TIMS: A Tactile Internet-Based Micromanipulation System with Haptic Guidance for Surgical Training
Microsurgery involves the dexterous manipulation of delicate tissue or f...
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03/06/2023
DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training
Large-scale pre-trained multi-modal models (e.g., CLIP) demonstrate stro...
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03/02/2023
Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation
Recent popular Role-Playing Games (RPGs) saw the great success of charac...
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02/28/2023
Efficient Masked Autoencoders with Self-Consistency
Inspired by masked language modeling (MLM) in natural language processin...
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02/26/2023
Phase-Field DeepONet: Physics-informed deep operator neural network for fast simulations of pattern formation governed by gradient flows of free-energy functionals
Recent advances in scientific machine learning have shed light on the mo...
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02/24/2023
An Iterative Classification and Semantic Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images
Huge challenges exist for old landslide detection because their morpholo...
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02/21/2023
Leveraging phone-level linguistic-acoustic similarity for utterance-level pronunciation scoring
Recent studies on pronunciation scoring have explored the effect of intr...
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02/19/2023
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network
Deducing the contribution of each agent and assigning the corresponding ...
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02/08/2023
Resistance Distances in Directed Graphs: Definitions, Properties, and Applications
Resistance distance has been studied extensively in the past years, with...
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01/09/2023
Combinatorial Properties for a Class of Simplicial Complexes Extended from Pseudo-fractal Scale-free Web
Simplicial complexes are a popular tool used to model higher-order inter...
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12/15/2022
DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution
Real-world image super-resolution (RISR) has received increased focus fo...
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12/06/2022
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud
LiDAR-based 3D object detection is an indispensable task in advanced aut...
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12/03/2022
Exploring Stochastic Autoregressive Image Modeling for Visual Representation
Autoregressive language modeling (ALM) have been successfully used in se...
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11/25/2022
MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection
Visual anomaly detection plays a crucial role in not only manufacturing ...
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11/24/2022
Delving into Out-of-Distribution Detection with Vision-Language Representations
Recognizing out-of-distribution (OOD) samples is critical for machine le...
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11/22/2022
Transformation-Equivariant 3D Object Detection for Autonomous Driving
3D object detection received increasing attention in autonomous driving ...
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11/02/2022
A Data-driven Case-based Reasoning in Bankruptcy Prediction
There has been intensive research regarding machine learning models for ...
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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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10/18/2022
Zero-shot Point Cloud Segmentation by Transferring Geometric Primitives
We investigate transductive zero-shot point cloud semantic segmentation ...
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10/18/2022
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning
A Temporal Knowledge Graph (TKG) is a sequence of KGs with respective ti...
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10/13/2022
Unified Vision and Language Prompt Learning
Prompt tuning, a parameter- and data-efficient transfer learning paradig...
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10/11/2022
On the Partial Differential Lüroth's Theorem
We study the Lüroth problem for partial differential fields. The main re...
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10/01/2022
Paradoxes and resolutions for semiparametric fusion of individual and summary data
Suppose we have available individual data from an internal study and var...
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09/28/2022
Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks
Visual tasks vary a lot in their output formats and concerned contents, ...
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09/24/2022
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation
While Reinforcement Learning can achieve impressive results for complex ...
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09/23/2022