node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
27,378 | 30 | Title: From Fake to Hyperpartisan News Detection Using Domain Adaptation
Abstract: Unsupervised Domain Adaptation (UDA) is a popular technique that aims to reduce the domain shift between two data distributions. It was successfully applied in computer vision and natural language processing. In the current work, we expl... | [] | Train |
27,379 | 16 | Title: AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
Abstract: Neural implicit fields are powerful for representing 3D scenes and generating high-quality novel views, but it remains challenging to use such implicit representations for creating a 3D human avatar with ... | [
32384,
10070,
9846,
16697,
24763,
25983
] | Validation |
27,380 | 24 | Title: Exact Non-Oblivious Performance of Rademacher Random Embeddings
Abstract: This paper revisits the performance of Rademacher random projections, establishing novel statistical guarantees that are numerically sharp and non-oblivious with respect to the input data. More specifically, the central result is the Schur... | [] | Train |
27,381 | 3 | Title: Data, Trees, and Forests - Decision Tree Learning in K-12 Education
Abstract: As a consequence of the increasing influence of machine learning on our lives, everyone needs competencies to understand corresponding phenomena, but also to get involved in shaping our world and making informed decisions regarding the... | [] | Train |
27,382 | 5 | Title: Extensions for Shared Resource Orchestration in Kubernetes to Support RT-Cloud Containers
Abstract: — Industries are considering the adoption of cloud computing for real-time applications due to current improvements in network latencies and the advent of Fog and Edge computing. To create an RT-cloud capable of h... | [] | Validation |
27,383 | 13 | Title: Multi-Objective Optimization for UAV Swarm-Assisted IoT with Virtual Antenna Arrays
Abstract: Unmanned aerial vehicle (UAV) network is a promising technology for assisting Internet-of-Things (IoT), where a UAV can use its limited service coverage to harvest and disseminate data from IoT devices with low transmis... | [] | Train |
27,384 | 16 | Title: Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt
Abstract: Inspired by DETR variants, query-based end-to-end instance segmentation (QEIS) methods have recently outperformed CNN-based models on large-scale datasets. Yet they would lose efficacy when only a small amount of ... | [] | Test |
27,385 | 28 | Title: An Efficient Decomposition Algorithm for Large-Scale Network Slicing
Abstract: In this paper, we consider the network slicing (NS) problem which attempts to map multiple customized virtual network requests to a common shared network infrastructure and allocate network resources to meet diverse service requiremen... | [] | Test |
27,386 | 24 | Title: Communication-Efficient Decentralized Federated Learning via One-Bit Compressive Sensing
Abstract: Decentralized federated learning (DFL) has gained popularity due to its practicality across various applications. Compared to the centralized version, training a shared model among a large number of nodes in DFL is... | [] | Test |
27,387 | 16 | Title: Improving Reference-based Distinctive Image Captioning with Contrastive Rewards
Abstract: Distinctive Image Captioning (DIC) -- generating distinctive captions that describe the unique details of a target image -- has received considerable attention over the last few years. A recent DIC method proposes to genera... | [] | Validation |
27,388 | 24 | Title: AMFPMC - An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions
Abstract: Adverse drug interactions are largely preventable causes of medical accidents, which frequently result in physician and emergency room encounters. The detection of drug interactions... | [] | Train |
27,389 | 10 | Title: Short Run Transit Route Planning Decision Support System Using a Deep Learning-Based Weighted Graph
Abstract: Public transport routing plays a crucial role in transit network design, ensuring a satisfactory level of service for passengers. However, current routing solutions rely on traditional operational resear... | [] | Test |
27,390 | 16 | Title: Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models
Abstract: Blind video quality assessment (BVQA) plays an indispensable role in monitoring and improving the end-users' viewing experience in various real-world video-enabled media applications. As an experimental field, the improv... | [
310,
7823
] | Test |
27,391 | 30 | Title: Aligning Large Language Models for Clinical Tasks
Abstract: Large Language Models (LLMs) have demonstrated remarkable adaptability, showcasing their capacity to excel in tasks for which they were not explicitly trained. However, despite their impressive natural language processing (NLP) capabilities, effective a... | [
15301,
13029,
13510,
37360,
37527,
21880,
17789
] | Validation |
27,392 | 16 | Title: Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding
Abstract: We present an improved approach for 3D object detection in point clouds data based on the Frustum PointNet (F-PointNet). Compared to the original F-PointNet, our newly proposed method considers the point neighborhood when c... | [] | Train |
27,393 | 33 | Title: Büchi-like characterizations for Parikh-recognizable omega-languages
Abstract: B\"uchi's theorem states that $\omega$-regular languages are characterized as languages of the form $\bigcup_i U_i V_i^\omega$, where $U_i$ and $V_i$ are regular languages. Parikh automata are automata on finite words whose transition... | [
19604,
44237
] | Train |
27,394 | 6 | Title: Characterizing Image Accessibility on Wikipedia across Languages
Abstract: We make a first attempt to characterize image accessibility on Wikipedia across languages, present new experimental results that can inform efforts to assess description quality, and offer some strategies to improve Wikipedia's image acce... | [] | Train |
27,395 | 6 | Title: An End-to-End Review of Gaze Estimation and its Interactive Applications on Handheld Mobile Devices
Abstract: In recent years we have witnessed an increasing number of interactive systems on handheld mobile devices which utilise gaze as a single or complementary interaction modality. This trend is driven by the ... | [
9001
] | Train |
27,396 | 16 | Title: Meta-Personalizing Vision-Language Models to Find Named Instances in Video
Abstract: Large-scale vision-language models (VLM) have shown impressive results for language-guided search applications. While these models allow category-level queries, they currently struggle with personalized searches for moments in a... | [] | Test |
27,397 | 30 | Title: Universal Multimodal Representation for Language Understanding
Abstract: Representation learning is the foundation of natural language processing (NLP). This work presents new methods to employ visual information as assistant signals to general NLP tasks. For each sentence, we first retrieve a flexible number of... | [
45242,
17946
] | Test |
27,398 | 30 | Title: A Simple and Effective Method of Cross-Lingual Plagiarism Detection
Abstract: We present a simple cross-lingual plagiarism detection method applicable to a large number of languages. The presented approach leverages open multilingual thesauri for candidate retrieval task and pre-trained multilingual BERT-based l... | [] | Test |
27,399 | 16 | Title: Vehicle Detection and Classification without Residual Calculation: Accelerating HEVC Image Decoding with Random Perturbation Injection
Abstract: In the field of video analytics, particularly traffic surveillance, there is a growing need for efficient and effective methods for processing and understanding video d... | [] | Test |
27,400 | 24 | Title: Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM
Abstract: This paper explores the challenges of implementing Federated Learning (FL) in practical scenarios featuring isolated nodes with data heterogeneity, which can only be connecte... | [] | Train |
27,401 | 30 | Title: Attention is Not Always What You Need: Towards Efficient Classification of Domain-Specific Text
Abstract: For large-scale IT corpora with hundreds of classes organized in a hierarchy, the task of accurate classification of classes at the higher level in the hierarchies is crucial to avoid errors propagating to t... | [] | Test |
27,402 | 16 | Title: HODN: Disentangling Human-Object Feature for HOI Detection
Abstract: The task of Human-Object Interaction (HOI) detection is to detect humans and their interactions with surrounding objects, where transformer-based methods show dominant advances currently. However, these methods ignore the relationship among hum... | [] | Validation |
27,403 | 10 | Title: On the Complexity of Enumerating Prime Implicants from Decision-DNNF Circuits
Abstract: We consider the problem Enum·IP of enumerating prime implicants of Boolean functions represented by decision decomposable negation normal form (dec-DNNF) circuits. We study Enum·IP from dec-DNNF within the framework of enumer... | [] | Validation |
27,404 | 16 | Title: Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography
Abstract: The diagnostic quality of computed tomography (CT) scans is usually restricted by the induced patient dose, scan speed, and image quality. Sparse-angle tomographic scans reduce radiation exposure and accelerate d... | [] | Train |
27,405 | 16 | Title: Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks
Abstract: Monocular Depth Estimation (MDE) is a critical component in applications such as autonomous driving. There are various attacks against MDE networks. These attacks, especially the physical ones, pose a grea... | [
31634,
21308
] | Train |
27,406 | 16 | Title: NeAT: Neural Artistic Tracing for Beautiful Style Transfer
Abstract: Style transfer is the task of reproducing the semantic contents of a source image in the artistic style of a second target image. In this paper, we present NeAT, a new state-of-the art feed-forward style transfer method. We re-formulate feed-fo... | [
10212
] | Train |
27,407 | 4 | Title: Private Federated Learning in Gboard
Abstract: This white paper describes recent advances in Gboard(Google Keyboard)'s use of federated learning, DP-Follow-the-Regularized-Leader (DP-FTRL) algorithm, and secure aggregation techniques to train machine learning (ML) models for suggestion, prediction and correction... | [
19953,
21145
] | Train |
27,408 | 30 | Title: What Matters In The Structured Pruning of Generative Language Models?
Abstract: Auto-regressive large language models such as GPT-3 require enormous computational resources to use. Traditionally, structured pruning methods are employed to reduce resource usage. However, their application to and efficacy for gene... | [
8106,
6979
] | Train |
27,409 | 24 | Title: Cluster Purging: Efficient Outlier Detection Based on Rate-Distortion Theory
Abstract: Rate-distortion theory-based outlier detection builds upon the rationale that a good data compression will encode outliers with unique symbols. Based on this rationale, we propose Cluster Purging, which is an extension of clus... | [] | Train |
27,410 | 16 | Title: DynamicKD: An Effective Knowledge Distillation via Dynamic Entropy Correction-Based Distillation for Gap Optimizing
Abstract: The knowledge distillation uses a high-performance teacher network to guide the student network. However, the performance gap between the teacher and student networks can affect the stude... | [] | Test |
27,411 | 27 | Title: LEMMA: Learning Language-Conditioned Multi-Robot Manipulation
Abstract: Complex manipulation tasks often require robots with complementary capabilities to collaborate. We introduce a benchmark for <underline>L</underline>anguag<underline>E</underline>-Conditioned <underline>M</underline>ulti-robot <underline>MA<... | [] | Train |
27,412 | 27 | Title: A Multimodal Data Set of Human Handovers with Design Implications for Human-Robot Handovers
Abstract: Handovers are basic yet sophisticated motor tasks performed seamlessly by humans. They are among the most common activities in our daily lives and social environments. This makes mastering the art of handovers c... | [] | Train |
27,413 | 26 | Title: Quantitative Analysis of Cultural Dynamics Seen from an Event-based Social Network
Abstract: Culture is a collection of connected and potentially interactive patterns that characterize a social group or a passed-on idea that people acquire as members of society. While offline activities can provide a better pict... | [] | Validation |
27,414 | 16 | Title: Deep Industrial Image Anomaly Detection: A Survey
Abstract: The recent rapid development of deep learning has laid a milestone in industrial Image Anomaly Detection (IAD). In this paper, we provide a comprehensive review of deep learning-based image anomaly detection techniques, from the perspectives of neural n... | [
17891,
37029,
17581,
26264,
3865,
45788
] | Validation |
27,415 | 30 | Title: Utilizing Natural Language Processing for Automated Assessment of Classroom Discussion
Abstract: Rigorous and interactive class discussions that support students to engage in high-level thinking and reasoning are essential to learning and are a central component of most teaching interventions. However, formally ... | [] | Train |
27,416 | 8 | Title: Exact solution of the full RMSA problem in elastic optical networks
Abstract: Exact solutions of the Routing, Modulation, and Spectrum Allocation (RMSA) problem in Elastic Optical Networks (EONs), so that the number of admitted demands is maximized while those of regenerators and frequency slots used are minimiz... | [] | Train |
27,417 | 16 | Title: Examining Autoexposure for Challenging Scenes
Abstract: Autoexposure (AE) is a critical step applied by camera systems to ensure properly exposed images. While current AE algorithms are effective in well-lit environments with constant illumination, these algorithms still struggle in environments with bright ligh... | [] | Train |
27,418 | 30 | Title: BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases
Abstract: Energy-based models (EBMs) have gained popularity for controlled text generation due to their high applicability to a wide range of constraints. However, sampling from EBMs is non-trivial, as it often requires a large number of iter... | [] | Train |
27,419 | 8 | Title: Why white noise is not enough? On using radio front-end models while designing 6G PHY
Abstract: Each subsequent generation of wireless standards imposes stricter spectral and energy efficiency demands. So far, layered wireless transceiver architectures have been used, allowing for instance to separate channel deco... | [] | Train |
27,420 | 16 | Title: Visual Localization using Imperfect 3D Models from the Internet
Abstract: Visual localization is a core component in many applications, including augmented reality (AR). Localization algorithms compute the camera pose of a query image w.r.t. a scene representation, which is typically built from images. This ofte... | [] | Train |
27,421 | 16 | Title: CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching
Abstract: Open-vocabulary detection (OVD) is an object detection task aiming at detecting objects from novel categories beyond the base categories on which the detector is trained. Recent OVD methods rely on large-sca... | [
32050,
27860,
24653,
22814
] | Test |
27,422 | 16 | Title: Class-level Structural Relation Modelling and Smoothing for Visual Representation Learning
Abstract: Representation learning for images has been advanced by recent progress in more complex neural models such as the Vision Transformers and new learning theories such as the structural causal models. However, these... | [
9232,
40287,
44519
] | Train |
27,423 | 6 | Title: "Alexa doesn't have that many feelings": Children's understanding of AI through interactions with smart speakers in their homes
Abstract: As voice-based Conversational Assistants (CAs), including Alexa, Siri, Google Home, have become commonly embedded in households, many children now routinely interact with Arti... | [
13510
] | Train |
27,424 | 16 | Title: Curvature-Aware Training for Coordinate Networks
Abstract: Coordinate networks are widely used in computer vision due to their ability to represent signals as compressed, continuous entities. However, training these networks with first-order optimizers can be slow, hindering their use in real-time applications. ... | [
18632
] | Train |
27,425 | 26 | Title: Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach
Abstract: The rise of social media platforms has facilitated the formation of echo chambers, which are online spaces where users predominantly encounter viewpoints that reinforce their existing beliefs while excluding dissenting perspectiv... | [] | Validation |
27,426 | 16 | Title: CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout
Abstract: Recent research endeavors have shown that combining neural radiance fields (NeRFs) with pre-trained diffusion models holds great potential for text-to-3D generation. However, a hurdle is that they often encounter guida... | [
7076,
16103,
14861,
21078,
32601,
16697
] | Test |
27,427 | 24 | Title: Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
Abstract: We consider the prediction of the Hamiltonian matrix, which finds use in quantum chemistry and condensed matter physics. Efficiency and equivariance are two important, but conflicting factors. In this work, we propose a SE(3)-e... | [] | Train |
27,428 | 24 | Title: CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers' Decisions
Abstract: Current interpretability methods focus on explaining a particular model's decision through present input features. Such methods do not inform the user of the sufficient conditions that alter these decision... | [] | Test |
27,429 | 16 | Title: SGDiff: A Style Guided Diffusion Model for Fashion Synthesis
Abstract: This paper reports on the development of \textbf{a novel style guided diffusion model (SGDiff)} which overcomes certain weaknesses inherent in existing models for image synthesis. The proposed SGDiff combines image modality with a pretrained ... | [] | Train |
27,430 | 27 | Title: Team Northeastern's Approach to ANA XPRIZE Avatar Final Testing: A Holistic Approach to Telepresence and Lessons Learned
Abstract: This paper reports on Team Northeastern's Avatar system for telepresence, and our holistic approach to meet the ANA Avatar XPRIZE Final testing task requirements. The system features... | [
44158,
23981,
39038,
11863
] | Train |
27,431 | 24 | Title: Exploring Global and Local Information for Anomaly Detection with Normal Samples
Abstract: Anomaly detection aims to detect data that do not conform to regular patterns, and such data is also called outliers. The anomalies to be detected are often tiny in proportion, containing crucial information, and are suita... | [] | Train |
27,432 | 30 | Title: Investigating Failures to Generalize for Coreference Resolution Models
Abstract: Coreference resolution models are often evaluated on multiple datasets. Datasets vary, however, in how coreference is realized -- i.e., how the theoretical concept of coreference is operationalized in the dataset -- due to factors s... | [] | Validation |
27,433 | 16 | Title: VERITE: A Robust Benchmark for Multimodal Misinformation Detection Accounting for Unimodal Bias
Abstract: Multimedia content has become ubiquitous on social media platforms, leading to the rise of multimodal misinformation (MM) and the urgent need for effective strategies to detect and prevent its spread. In rec... | [
10624,
19378,
14454
] | Test |
27,434 | 4 | Title: Man vs the machine: The Struggle for Effective Text Anonymisation in the Age of Large Language Models
Abstract: The collection and use of personal data are becoming more common in today's data-driven culture. While there are many advantages to this, including better decision-making and service delivery, it also ... | [
18777,
33853,
5957,
18758
] | Train |
27,435 | 4 | Title: Blockchain-Empowered Lifecycle Management for AI-Generated Content (AIGC) Products in Edge Networks
Abstract: The rapid development of Artificial IntelligenceGenerated Content (AIGC) has brought daunting challenges regarding service latency, security, and trustworthiness. Recently, researchers presented the edge... | [
1603,
24420,
30925,
35951,
12888
] | Train |
27,436 | 16 | Title: Cooperverse: A Mobile-Edge-Cloud Framework for Universal Cooperative Perception with Mixed Connectivity and Automation
Abstract: Cooperative perception (CP) is attracting increasing attention and is regarded as the core foundation to support cooperative driving automation, a potential key solution to addressing ... | [
44574
] | Train |
27,437 | 24 | Title: Augmented Modular Reinforcement Learning based on Heterogeneous Knowledge
Abstract: In order to mitigate some of the inefficiencies of Reinforcement Learning (RL), modular approaches composing different decision-making policies to derive agents capable of performing a variety of tasks have been proposed. The mod... | [
22816,
35292,
16556
] | Validation |
27,438 | 30 | Title: SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification
Abstract: Extreme classification (XC) involves predicting over large numbers of classes (thousands to millions), with real-world applications like news article classification and e-commerce product tagging. The zero-shot version of this... | [] | Train |
27,439 | 30 | Title: Down the Toxicity Rabbit Hole: Investigating PaLM 2 Guardrails
Abstract: This paper conducts a robustness audit of the safety feedback of PaLM 2 through a novel toxicity rabbit hole framework introduced here. Starting with a stereotype, the framework instructs PaLM 2 to generate more toxic content than the stere... | [
41122,
17606,
26792,
17295,
10800,
29396,
729,
39295
] | Test |
27,440 | 30 | Title: Sources of Hallucination by Large Language Models on Inference Tasks
Abstract: Large Language Models (LLMs) are claimed to be capable of Natural Language Inference (NLI), necessary for applied tasks like question answering and summarization, yet this capability is under-explored. We present a series of behaviora... | [
4610,
21180,
14148,
33220,
5707,
26830,
46066,
38102,
28151,
18777,
42747,
8188,
32319
] | Train |
27,441 | 16 | Title: Diffusion-Augmented Depth Prediction with Sparse Annotations
Abstract: Depth estimation aims to predict dense depth maps. In autonomous driving scenes, sparsity of annotations makes the task challenging. Supervised models produce concave objects due to insufficient structural information. They overfit to valid p... | [
18110
] | Train |
27,442 | 36 | Title: SEAL: A Strategy-Proof and Privacy-Preserving UAV Computation Offloading Framework
Abstract: Due to the limited battery and computing resource, offloading unmanned aerial vehicles (UAVs)’ computation tasks to ground infrastructure, e.g., vehicles, is a fundamental framework. Under such an open and untrusted envi... | [
14553,
37211,
8503
] | Train |
27,443 | 16 | Title: PoissonNet: Resolution-Agnostic 3D Shape Reconstruction using Fourier Neural Operators
Abstract: We introduce PoissonNet, an architecture for shape reconstruction that addresses the challenge of recovering 3D shapes from points. Traditional deep neural networks face challenges with common 3D shape discretization... | [
10493
] | Train |
27,444 | 36 | Title: Cooperative Resource Trading for Network Slicing in Industrial IoT: A Multi-Agent DRL Approach
Abstract: The industrial Internet of Things (IIoT) and network slicing (NS) paradigms have been envisioned as key enablers for flexible and intelligent manufacturing in the industry 4.0, where a myriad of interconnecte... | [] | Train |
27,445 | 5 | Title: Grassroots Social Networking: Serverless, Permissionless Protocols for Twitter/LinkedIn/WhatsApp
Abstract: Offering a viable alternative architecture to centrally-controlled global digital platforms for social networking is an open challenge. Here we present a grassroots architecture for serverless, permissionle... | [
43332,
23685
] | Train |
27,446 | 4 | Title: Mean Estimation with User-level Privacy under Data Heterogeneity
Abstract: A key challenge in many modern data analysis tasks is that user data are heterogeneous. Different users may possess vastly different numbers of data points. More importantly, it cannot be assumed that all users sample from the same underl... | [
11364,
38101,
20295
] | Validation |
27,447 | 16 | Title: Long-Range Correlation Supervision for Land-Cover Classification from Remote Sensing Images
Abstract: Long-range dependency modeling has been widely considered in modern deep learning based semantic segmentation methods, especially those designed for large-size remote sensing images, to compensate the intrinsic ... | [] | Train |
27,448 | 30 | Title: ToolQA: A Dataset for LLM Question Answering with External Tools
Abstract: Large Language Models (LLMs) have demonstrated impressive performance in various NLP tasks, but they still suffer from challenges such as hallucination and weak numerical reasoning. To overcome these challenges, external tools can be used... | [] | Test |
27,449 | 24 | Title: Multimodal brain age estimation using interpretable adaptive population-graph learning
Abstract: Brain age estimation is clinically important as it can provide valuable information in the context of neurodegenerative diseases such as Alzheimer's. Population graphs, which include multimodal imaging information of... | [
40633
] | Train |
27,450 | 16 | Title: A Plug-and-Play Defensive Perturbation for Copyright Protection of DNN-based Applications
Abstract: Wide deployment of deep neural networks (DNNs) based applications (e.g., style transfer, cartoonish), stimulating the requirement of copyright protection of such application's production. Although some traditional... | [
12888
] | Train |
27,451 | 16 | Title: PVP: Pre-trained Visual Parameter-Efficient Tuning
Abstract: Large-scale pre-trained transformers have demonstrated remarkable success in various computer vision tasks. However, it is still highly challenging to fully fine-tune these models for downstream tasks due to their high computational and storage costs. ... | [] | Validation |
27,452 | 27 | Title: Learning Failure Prevention Skills for Safe Robot Manipulation
Abstract: Robots are more capable of achieving manipulation tasks for everyday activities than before. But the safety of manipulation skills that robots employ is still an open problem. Considering all possible failures during skill learning increase... | [] | Train |
27,453 | 27 | Title: Your Room is not Private: Gradient Inversion Attack on Reinforcement Learning
Abstract: The prominence of embodied Artificial Intelligence (AI), which empowers robots to navigate, perceive, and engage within virtual environments, has attracted significant attention, owing to the remarkable advancements in comput... | [
5951,
5687
] | Train |
27,454 | 30 | Title: Kosmos-2: Grounding Multimodal Large Language Models to the World
Abstract: We introduce Kosmos-2, a Multimodal Large Language Model (MLLM), enabling new capabilities of perceiving object descriptions (e.g., bounding boxes) and grounding text to the visual world. Specifically, we represent refer expressions as l... | [
10624,
21892,
23302,
21512,
34314,
42231,
8084,
28450,
30243,
25892,
36522,
17968,
18621,
33220,
19013,
19909,
14923,
26830,
25556,
33626,
15711,
35041,
37987,
36966,
15465,
16878,
6640,
29559,
31481,
2811,
13564,
381
] | Train |
27,455 | 31 | Title: Improving Noise Robustness for Spoken Content Retrieval Using Semi-Supervised ASR and N-Best Transcripts for BERT-Based Ranking Models
Abstract: BERT-based re-ranking and dense retrieval (DR) systems have been shown to improve search effectiveness for spoken content retrieval (SCR). However, both methods can sti... | [] | Train |
27,456 | 25 | Title: CB-Conformer: Contextual biasing Conformer for biased word recognition
Abstract: Due to the mismatch between the source and target domains, how to better utilize the biased word information to improve the performance of the automatic speech recognition model in the target domain becomes a hot research topic. Pre... | [] | Train |
27,457 | 30 | Title: Multimodal Procedural Planning via Dual Text-Image Prompting
Abstract: Embodied agents have achieved prominent performance in following human instructions to complete tasks. However, the potential of providing instructions informed by texts and images to assist humans in completing tasks remains underexplored. T... | [
22722,
5387,
37778,
6963,
21782,
15031,
12957
] | Train |
27,458 | 24 | Title: Stabilizing Contrastive RL: Techniques for Offline Goal Reaching
Abstract: In the same way that the computer vision (CV) and natural language processing (NLP) communities have developed self-supervised methods, reinforcement learning (RL) can be cast as a self-supervised problem: learning to reach any goal, with... | [
31308,
39479
] | Test |
27,459 | 2 | Title: SMT Solving over Finite Field Arithmetic
Abstract: Non-linear polynomial systems over finite fields are used to model functional behavior of cryptosystems, with applications in system security, computer cryptography, and post- quantum cryptography. Solving polynomial systems is also one of the most difficult pro... | [] | Test |
27,460 | 22 | Title: Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems
Abstract: Heterogeneity has become a mainstream architecture design choice for building High Performance Computing systems. However, heterogeneity poses significant challenges for achieving performance portability of execut... | [] | Train |
27,461 | 16 | Title: Text Conditional Alt-Text Generation for Twitter Images
Abstract: In this work we present an approach for generating alternative text (or alt-text) descriptions for images shared on social media, specifically Twitter. This task is more than just a special case of image captioning, as alt-text is both more litera... | [] | Train |
27,462 | 30 | Title: Multi-Action Dialog Policy Learning from Logged User Feedback
Abstract: Multi-action dialog policy (MADP), which generates multiple atomic dialog actions per turn, has been widely applied in task-oriented dialog systems to provide expressive and efficient system responses. Existing MADP models usually imitate ac... | [] | Validation |
27,463 | 16 | Title: BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution Generalization of VQA Models
Abstract: We introduce a new test set for visual question answering (VQA) called BinaryVQA to push the limits of VQA models. Our dataset includes 7,800 questions across 1,024 images and covers a wide variety of objec... | [] | Train |
27,464 | 24 | Title: Pragmatic Fairness: Developing Policies with Outcome Disparity Control
Abstract: We introduce a causal framework for designing optimal policies that satisfy fairness constraints. We take a pragmatic approach asking what we can do with an action space available to us and only with access to historical data. We pr... | [] | Train |
27,465 | 6 | Title: Haptic Feedback of Tool Vibrations Facilitates Telerobotic Construction
Abstract: Telerobotics has shown promise in helping workers safely manipulate building components on construction sites; however, its primary reliance on visual feedback limits efficiency in situations with stiff contact or poor visibility. ... | [] | Validation |
27,466 | 33 | Title: Action Codes
Abstract: We provide a new perspective on the problem how high-level state machine models with abstract actions can be related to low-level models in which these actions are refined by sequences of concrete actions. We describe the connection between high-level and low-level actions using \emph{acti... | [] | Train |
27,467 | 3 | Title: When the Metaverse Meets Carbon Neutrality: Ongoing Efforts and Directions
Abstract: The metaverse has recently gained increasing attention from the public. It builds up a virtual world where we can live as a new role regardless of the role we play in the physical world. However, building and operating this virt... | [] | Train |
27,468 | 24 | Title: Wasserstein distributional robustness of neural networks
Abstract: Deep neural networks are known to be vulnerable to adversarial attacks (AA). For an image recognition task, this means that a small perturbation of the original can result in the image being misclassified. Design of such attacks as well as method... | [
33414
] | Train |
27,469 | 16 | Title: Joint Adaptive Representations for Image-Language Learning
Abstract: Image-language learning has made unprecedented progress in visual understanding. These developments have come at high costs, as contemporary vision-language models require large model scales and amounts of data. We here propose a much easier re... | [] | Test |
27,470 | 16 | Title: PCFGaze: Physics-Consistent Feature for Appearance-based Gaze Estimation
Abstract: Although recent deep learning based gaze estimation approaches have achieved much improvement, we still know little about how gaze features are connected to the physics of gaze. In this paper, we try to answer this question by ana... | [] | Train |
27,471 | 30 | Title: Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics
Abstract: Linguistic style matching (LSM) in conversations can be reflective of several aspects of social influence such as power or persuasion. However, how LSM relates to the outcomes of online commu... | [] | Validation |
27,472 | 24 | Title: Improving Performance of Semi-Supervised Learning by Adversarial Attacks
Abstract: Semi-supervised learning (SSL) algorithm is a setup built upon a realistic assumption that access to a large amount of labeled data is tough. In this study, we present a generalized framework, named SCAR, standing for Selecting Cl... | [] | Train |
27,473 | 16 | Title: Shortest Length Total Orders Do Not Minimize Irregularity in Vector-Valued Mathematical Morphology
Abstract: Mathematical morphology is a theory concerned with non-linear operators for image processing and analysis. The underlying framework for mathematical morphology is a partially ordered set with well-defined... | [] | Test |
27,474 | 8 | Title: Joint Latency-Energy Minimization for Fog-Assisted Wireless IoT Networks
Abstract: This work aims to present a joint resource allocation method for a fog-assisted network wherein IoT wireless devices simultaneously offload their tasks to a serving fog node. The main contribution is to formulate joint minimizatio... | [] | Train |
27,475 | 24 | Title: PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
Abstract: Time-dependent partial differential equations (PDEs) are ubiquitous in science and engineering. Recently, mostly due to the high computational cost of traditional solution techniques, deep neural network based surrogates have gained ... | [
36164,
422,
45352,
878,
24818,
38070,
1116
] | Train |
27,476 | 23 | Title: Learning Test-Mutant Relationship for Accurate Fault Localisation
Abstract: Context: Automated fault localisation aims to assist developers in the task of identifying the root cause of the fault by narrowing down the space of likely fault locations. Simulating variants of the faulty program called mutants, sever... | [] | Train |
27,477 | 24 | Title: Structural Pruning for Diffusion Models
Abstract: Generative modeling has recently undergone remarkable advancements, primarily propelled by the transformative implications of Diffusion Probabilistic Models (DPMs). The impressive capability of these models, however, often entails significant computational overhe... | [
12515,
39588,
40164,
8308,
500,
41654,
34074,
5278
] | Train |
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