node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
24,978 | 31 | Title: Implementation of a noisy hyperlink removal system: A semantic and relatedness approach
Abstract: As the volume of data on the web grows, the web structure graph, which is a graph representation of the web, continues to evolve. The structure of this graph has gradually shifted from content-based to non-content-b... | [
20186,
7990
] | Validation |
24,979 | 4 | Title: ACFA: Secure Runtime Auditing & Guaranteed Device Healing via Active Control Flow Attestation
Abstract: Low-end embedded devices are increasingly used in various smart applications and spaces. They are implemented under strict cost and energy budgets, using microcontroller units (MCUs) that lack security feature... | [] | Train |
24,980 | 4 | Title: Compensating Removed Frequency Components: Thwarting Voice Spectrum Reduction Attacks
Abstract: Automatic speech recognition (ASR) provides diverse audio-to-text services for humans to communicate with machines. However, recent research reveals ASR systems are vulnerable to various malicious audio attacks. In pa... | [] | Train |
24,981 | 30 | Title: Understanding Emotion Valence is a Joint Deep Learning Task
Abstract: The valence analysis of speakers’ utterances or written posts helps to understand the activation and variations of the emotional state throughout the conversation. More recently, the concept of Emotion Carriers (EC) has been introduced to expl... | [] | Test |
24,982 | 24 | Title: A Quantitative Review on Language Model Efficiency Research
Abstract: Language models (LMs) are being scaled and becoming powerful. Improving their efficiency is one of the core research topics in neural information processing systems. Tay et al. (2022) provided a comprehensive overview of efficient Transformers... | [] | Validation |
24,983 | 24 | Title: A Gentle Introduction to Gradient-Based Optimization and Variational Inequalities for Machine Learning
Abstract: The rapid progress in machine learning in recent years has been based on a highly productive connection to gradient-based optimization. Further progress hinges in part on a shift in focus from pattern... | [] | Test |
24,984 | 24 | Title: A Survey on Decentralized Federated Learning
Abstract: In recent years, federated learning (FL) has become a very popular paradigm for training distributed, large-scale, and privacy-preserving machine learning (ML) systems. In contrast to standard ML, where data must be collected at the exact location where trai... | [
17312,
16781,
36799
] | Train |
24,985 | 9 | Title: Improved pseudorandom generators for AC0 circuits
Abstract: We give PRG for depth-d, size-m AC0 circuits with seed length O(logd−1 (m) log(m/ε) log log(m)). Our PRG improves on previous work [27, 25, 18] from various aspects. It has optimal dependence on 1/ε and is only one "log log(m)" away from the lower bound... | [] | Test |
24,986 | 16 | Title: Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback
Abstract: The field of text-conditioned image generation has made unparalleled progress with the recent advent of latent diffusion models. While remarkable, as the complexity of given text input increases, ... | [
10624,
29536,
13700,
11273,
15983,
36084,
20949,
25368,
34074,
43867
] | Validation |
24,987 | 24 | Title: Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning
Abstract: The coronavirus disease 2019 (COVID-19) has led to a global pandemic of significant severity. In addition to its high level of contagiousness, COVID-19 can have a heterogeneous clinical course, ranging from asy... | [
2909,
26319
] | Test |
24,988 | 16 | Title: Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations
Abstract: In the United States, primary open-angle glaucoma (POAG) is the leading cause of blindness, especially among African American and Hispanic individuals. Deep... | [] | Validation |
24,989 | 16 | Title: Triplet Knowledge Distillation
Abstract: In Knowledge Distillation, the teacher is generally much larger than the student, making the solution of the teacher likely to be difficult for the student to learn. To ease the mimicking difficulty, we introduce a triplet knowledge distillation mechanism named TriKD. Bes... | [] | Train |
24,990 | 10 | Title: Deep Intellectual Property Protection: A Survey
Abstract: Deep Neural Networks (DNNs), from AlexNet to ResNet to ChatGPT, have made revolutionary progress in recent years, and are widely used in various fields. The high performance of DNNs requires a huge amount of high-quality data, expensive computing hardware... | [] | Train |
24,991 | 30 | Title: 3D-EX : A Unified Dataset of Definitions and Dictionary Examples
Abstract: Definitions are a fundamental building block in lexicography, linguistics and computational semantics. In NLP, they have been used for retrofitting word embeddings or augmenting contextual representations in language models. However, lexi... | [
6707
] | Train |
24,992 | 16 | Title: WeakPolyp: You Only Look Bounding Box for Polyp Segmentation
Abstract: Limited by expensive pixel-level labels, polyp segmentation models are plagued by data shortage and suffer from impaired generalization. In contrast, polyp bounding box annotations are much cheaper and more accessible. Thus, to reduce labelin... | [
33098
] | Test |
24,993 | 30 | Title: End-to-End Joint Target and Non-Target Speakers ASR
Abstract: This paper proposes a novel automatic speech recognition (ASR) system that can transcribe individual speaker's speech while identifying whether they are target or non-target speakers from multi-talker overlapped speech. Target-speaker ASR systems are ... | [] | Test |
24,994 | 3 | Title: Performance of Large Language Models in a Computer Science Degree Program
Abstract: Large language models such as ChatGPT-3.5 and GPT-4.0 are ubiquitous and dominate the current discourse. Their transformative capabilities have led to a paradigm shift in how we interact with and utilize (text-based) information.... | [
13700,
16166,
43566,
16662,
40055
] | Test |
24,995 | 2 | Title: A Practitioner's Guide to MDP Model Checking Algorithms
Abstract: Model checking undiscounted reachability and expected-reward properties on Markov decision processes (MDPs) is key for the verification of systems that act under uncertainty. Popular algorithms are policy iteration and variants of value iteration;... | [
5337,
29405
] | Train |
24,996 | 16 | Title: VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control
Abstract: As the model size of pre-trained language models (PLMs) grows rapidly, full fine-tuning becomes prohibitively expensive for model training and storage. In vision-and-language (VL), parameter-efficient tuning (PET) techniques... | [
12512
] | Train |
24,997 | 30 | Title: LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction
Abstract: Transformer encoders contextualize token representations by attending to all other tokens at each layer, leading to quadratic increase in compute effort with the input length. In practice, however, the input text o... | [
425,
24275,
32407
] | Test |
24,998 | 4 | Title: ByzSecAgg: A Byzantine-Resistant Secure Aggregation Scheme for Federated Learning Based on Coded Computing and Vector Commitment
Abstract: In this paper, we propose ByzSecAgg, an efficient secure aggregation scheme for federated learning that is protected against Byzantine attacks and privacy leakages. Processin... | [] | Train |
24,999 | 30 | Title: Cocktail HuBERT: Generalized Self-Supervised Pre-training for Mixture and Single-Source Speech
Abstract: Self-supervised learning leverages unlabeled data effectively, improving label efficiency and generalization to domains without labeled data. While recent work has studied generalization to more acoustic/ling... | [] | Test |
25,000 | 23 | Title: Regexes are Hard: Decision-Making, Difficulties, and Risks in Programming Regular Expressions
Abstract: Regular expressions (regexes) are a powerful mechanism for solving string-matching problems. They are supported by all modern programming languages, and have been estimated to appear in more than a third of Py... | [
31042,
41447,
40074,
42992,
28274
] | Validation |
25,001 | 39 | Title: On countings and enumerations of block-parallel automata networks
Abstract: When we focus on finite dynamical systems from both the computability/complexity and the modelling standpoints, automata networks seem to be a particularly appropriate mathematical model on which theory shall be developed. In this paper,... | [] | Train |
25,002 | 38 | Title: Science and Technology Ontology: A Taxonomy of Emerging Topics
Abstract: Ontologies play a critical role in Semantic Web technologies by providing a structured and standardized way to represent knowledge and enabling machines to understand the meaning of data. Several taxonomies and ontologies have been generate... | [] | Train |
25,003 | 24 | Title: Globally injective and bijective neural operators
Abstract: Recently there has been great interest in operator learning, where networks learn operators between function spaces from an essentially infinite-dimensional perspective. In this work we present results for when the operators learned by these networks ar... | [
37714
] | Validation |
25,004 | 23 | Title: An Exploratory Study of Ad Hoc Parsers in Python
Abstract: Background: Ad hoc parsers are pieces of code that use common string functions like split, trim, or slice to effectively perform parsing. Whether it is handling command-line arguments, reading configuration files, parsing custom file formats, or any numb... | [] | Train |
25,005 | 10 | Title: OntoChatGPT Information System: Ontology-Driven Structured Prompts for ChatGPT Meta-Learning
Abstract: This research presents a comprehensive methodology for utilizing an ontology-driven structured prompts system in interplay with ChatGPT, a widely used large language model (LLM). The study develops formal model... | [
33220
] | Validation |
25,006 | 16 | Title: Make-Your-Video: Customized Video Generation Using Textual and Structural Guidance
Abstract: Creating a vivid video from the event or scenario in our imagination is a truly fascinating experience. Recent advancements in text-to-video synthesis have unveiled the potential to achieve this with prompts only. While ... | [
20960,
42272,
41146,
12841,
23563,
14956,
15983,
17526,
34074
] | Validation |
25,007 | 6 | Title: Organizational Bulk Email Systems: Their Role and Performance in Remote Work
Abstract: ABSTRACT The COVID-19 pandemic has forced many employees to work from home. Organizational bulk emails now play a critical role to reach employees with central information in this work-from-home environment. However, we know f... | [
27139,
35270,
26697,
27637,
25342
] | Test |
25,008 | 24 | Title: Neural Diffeomorphic Non-uniform B-spline Flows
Abstract: Normalizing flows have been successfully modeling a complex probability distribution as an invertible transformation of a simple base distribution. However, there are often applications that require more than invertibility. For instance, the computation o... | [] | Train |
25,009 | 24 | Title: Some Might Say All You Need Is Sum
Abstract: The expressivity of Graph Neural Networks (GNNs) is dependent on the aggregation functions they employ. Theoretical works have pointed towards Sum aggregation GNNs subsuming every other GNNs, while certain practical works have observed a clear advantage to using Mean ... | [
36450,
35910,
3503
] | Test |
25,010 | 30 | Title: Automated Identification of Disaster News For Crisis Management Using Machine Learning
Abstract: A lot of news sources picked up on Typhoon Rai (also known locally as Typhoon Odette), along with fake news outlets. The study honed in on the issue, to create a model that can identify between legitimate and illegit... | [] | Train |
25,011 | 5 | Title: Dedicated Analysis Facility for HEP Experiments
Abstract: High-energy physics (HEP) provides ever-growing amount of data. To analyse these, continuously-evolving computational power is required in parallel by extending the storage capacity. Such developments play key roles in the future of this field however, th... | [] | Test |
25,012 | 24 | Title: Supervised Learning for Table Tennis Match Prediction
Abstract: Machine learning, classification and prediction models have applications across a range of fields. Sport analytics is an increasingly popular application, but most existing work is focused on automated refereeing in mainstream sports and injury prev... | [] | Test |
25,013 | 5 | Title: Stand-Up Indulgent Gathering on Lines
Abstract: We consider a variant of the crash-fault gathering problem called stand-up indulgent gathering (SUIG). In this problem, a group of mobile robots must eventually gather at a single location, which is not known in advance. If no robots crash, they must all meet at th... | [
25602
] | Validation |
25,014 | 3 | Title: Regulating trusted autonomous systems in Australia
Abstract: Australia is a leader in autonomous systems technology, particularly in the mining industry, borne from necessity in a geographically dispersed and complex natural environment. Increasingly advanced autonomous systems are becoming more prevalent in Aus... | [] | Train |
25,015 | 24 | Title: Discretization-based ensemble model for robust learning in IoT
Abstract: IoT device identification is the process of recognizing and verifying connected IoT devices to the network. This is an essential process for ensuring that only authorized devices can access the network, and it is necessary for network manag... | [] | Validation |
25,016 | 27 | Title: Study on the Impacts of Hazardous Behaviors on Autonomous Vehicle Collision Rates Based on Humanoid Scenario Generation in CARLA
Abstract: Testing of function safety and Safety Of The Intended Functionality (SOTIF) is important for autonomous vehicles (AVs). It is hard to test the AV's hazard response in the rea... | [
18974
] | Train |
25,017 | 30 | Title: Multilingual Content Moderation: A Case Study on Reddit
Abstract: Content moderation is the process of flagging content based on pre-defined platform rules. There has been a growing need for AI moderators to safeguard users as well as protect the mental health of human moderators from traumatic content. While pr... | [
23432,
35346
] | Train |
25,018 | 22 | Title: Parametric Subtyping for Structural Parametric Polymorphism
Abstract: We study the interaction of structural subtyping with parametric polymorphism and recursively defined type constructors. Although structural subtyping is undecidable in this setting, we describe a notion of parametricity for type constructors ... | [
29474
] | Train |
25,019 | 24 | Title: Geometric Algorithms for k-NN Poisoning
Abstract: We propose a label poisoning attack on geometric data sets against $k$-nearest neighbor classification. We provide an algorithm that can compute an $\varepsilon n$-additive approximation of the optimal poisoning in $n\cdot 2^{2^{O(d+k/\varepsilon)}}$ time for a g... | [] | Train |
25,020 | 30 | Title: A Model for Translation of Text from Indian Languages to Bharti Braille Characters
Abstract: People who are visually impaired face a lot of difficulties while studying. One of the major causes to this is lack of available text in Bharti Braille script. In this paper, we have suggested a scheme to convert text in... | [] | Train |
25,021 | 30 | Title: A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity
Abstract: Pretraining is the preliminary and fundamental step in developing capable language models (LM). Despite this, pretraining data design is critically under-documented and often guided by empiric... | [
40192,
34208,
13700,
25892,
20710,
43530,
17517,
16911,
14609,
29396,
24087,
18777,
23898,
7131,
38167,
29375
] | Test |
25,022 | 34 | Title: CARAMEL: A Succinct Read-Only Lookup Table via Compressed Static Functions
Abstract: Lookup tables are a fundamental structure in many data processing and systems applications. Examples include tokenized text in NLP, quantized embedding collections in recommendation systems, integer sketches for streaming data, ... | [] | Validation |
25,023 | 37 | Title: LeCo: Lightweight Compression via Learning Serial Correlations
Abstract: Lightweight data compression is a key technique that allows column stores to exhibit superior performance for analytical queries. Despite a comprehensive study on dictionary-based encodings to approach Shannon's entropy, few prior works hav... | [] | Train |
25,024 | 24 | Title: Feed-Forward Optimization With Delayed Feedback for Neural Networks
Abstract: Backpropagation has long been criticized for being biologically implausible, relying on concepts that are not viable in natural learning processes. This paper proposes an alternative approach to solve two core issues, i.e., weight tran... | [] | Train |
25,025 | 13 | Title: Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least Squares
Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) aim to use efficient computational models with the goal of approximating the fitness function in evolutionary computation systems.... | [] | Test |
25,026 | 34 | Title: Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs
Abstract: Weighted finite-state automata (WSFAs) arecommonly used in NLP. Failure transitions area useful extension for compactly representingbackoffs or interpolation in n-gram modelsand CRFs, which are special cases of WFSAs.Unfortunately,... | [] | Validation |
25,027 | 16 | Title: StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
Abstract: Cross-Domain Few-Shot Learning (CD-FSL) is a recently emerging task that tackles few-shot learning across different domains. It aims at transferring prior knowledge learned on the source dataset to novel target datasets. The C... | [
25914,
23356
] | Validation |
25,028 | 36 | Title: Persuading Farsighted Receivers in MDPs: the Power of Honesty
Abstract: Bayesian persuasion studies the problem faced by an informed sender who strategically discloses information to influence the behavior of an uninformed receiver. Recently, a growing attention has been devoted to settings where the sender and ... | [] | Test |
25,029 | 24 | Title: Self-discipline on multiple channels
Abstract: Self-distillation relies on its own information to improve the generalization ability of the model and has a bright future. Existing self-distillation methods either require additional models, model modification, or batch size expansion for training, which increases... | [] | Train |
25,030 | 24 | Title: Genetic Programming Based Symbolic Regression for Analytical Solutions to Differential Equations
Abstract: In this paper, we present a machine learning method for the discovery of analytic solutions to differential equations. The method utilizes an inherently interpretable algorithm, genetic programming based sy... | [
20384
] | Validation |
25,031 | 16 | Title: A Survey on Human Action Recognition
Abstract: Human Action Recognition (HAR), one of the most important tasks in computer vision, has developed rapidly in the past decade and has a wide range of applications in health monitoring, intelligent surveillance, virtual reality, human computer interaction and so on. H... | [] | Train |
25,032 | 36 | Title: Pricing in Ride-sharing Markets : Effects of network competition and autonomous vehicles
Abstract: Autonomous vehicles will be an integral part of ride-sharing services in the future. This setting differs from traditional ride-sharing marketplaces because of the absence of the supply side (drivers). However, it ... | [] | Validation |
25,033 | 24 | Title: A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments
Abstract: Optimization of experimental materials synthesis and characterization through active learning methods has been growing over the last decade, with examples ranging from measurements of dif... | [] | Test |
25,034 | 16 | Title: 3D reconstruction from spherical images: A review of techniques, applications, and prospects
Abstract: 3D reconstruction plays an increasingly important role in modern photogrammetric systems. Conventional satellite or aerial-based remote sensing (RS) platforms can provide the necessary data sources for the 3D r... | [] | Validation |
25,035 | 30 | Title: Deception Detection with Feature-Augmentation by Soft Domain Transfer
Abstract: nan | [] | Validation |
25,036 | 30 | Title: Interpretable Math Word Problem Solution Generation via Step-by-step Planning
Abstract: Solutions to math word problems (MWPs) with step-by-step explanations are valuable, especially in education, to help students better comprehend problem-solving strategies.Most existing approaches only focus on obtaining the f... | [
13510
] | Test |
25,037 | 8 | Title: Energy Efficient UAV-Assisted Emergency Communication with Reliable Connectivity and Collision Avoidance
Abstract: Emergency communication is vital for search and rescue operations following natural disasters. Unmanned Aerial Vehicles (UAVs) can significantly assist emergency communication by agile positioning, ... | [] | Test |
25,038 | 6 | Title: Annotating Covert Hazardous Driving Scenarios Online: Utilizing Drivers' Electroencephalography (EEG) Signals
Abstract: As autonomous driving systems prevail, it is becoming increasingly critical that the systems learn from databases containing fine-grained driving scenarios. Most databases currently available a... | [] | Validation |
25,039 | 36 | Title: Diversity-seeking Jump Games in Networks
Abstract: Recently, many researchers have studied strategic games inspired by Schelling's influential model of residential segregation. In this model, agents belonging to $k$ different types are placed at the nodes of a network. Agents can be either stubborn, in which cas... | [
7234
] | Test |
25,040 | 34 | Title: αi-Metric Graphs: Radius, Diameter and all Eccentricities
Abstract: We extend known results on chordal graphs and distance-hereditary graphs to much larger graph classes by using only a common metric property of these graphs. Specifically, a graph is called $\alpha_i$-metric ($i\in \mathcal{N}$) if it satisfies ... | [] | Validation |
25,041 | 24 | Title: BayBFed: Bayesian Backdoor Defense for Federated Learning
Abstract: Federated learning (FL) is an emerging technology that allows participants to jointly train a machine learning model without sharing their private data with others. However, FL is vulnerable to poisoning attacks such as backdoor attacks. Consequ... | [
4709
] | Train |
25,042 | 27 | Title: Geometric Facts Underlying Algorithms of Robot Navigation for Tight Circumnavigation of Group Objects through Singular Inter-Object Gaps
Abstract: An underactuated nonholonomic Dubins-vehicle-like robot with a lower-limited turning radius travels with a constant speed in a plane, which hosts unknown complex obje... | [] | Test |
25,043 | 37 | Title: A Prototype for a Controlled and Valid RDF Data Production Using SHACL
Abstract: The paper introduces a tool prototype that combines SHACL's capabilities with ad-hoc validation functions to create a controlled and user-friendly form interface for producing valid RDF data. The proposed tool is developed within th... | [] | Train |
25,044 | 4 | Title: A detailed review of blockchain and cryptocurrency
Abstract: Cryptocurrency is something that we have all heard about recently, most likely preceded by bitcoin, and how much its prices have boomed over the decade. These cryptocurrencies are actually based on blockchain, a secure datatype, and recently popular fo... | [] | Train |
25,045 | 24 | Title: Feature Reweighting for EEG-based Motor Imagery Classification
Abstract: Classification of motor imagery (MI) using non-invasive electroencephalographic (EEG) signals is a critical objective as it is used to predict the intention of limb movements of a subject. In recent research, convolutional neural network (C... | [] | Test |
25,046 | 31 | Title: The Role of Relevance in Fair Ranking
Abstract: Online platforms mediate access to opportunity: relevance-based rankings create and constrain options by allocating exposure to job openings and job candidates in hiring platforms, or sellers in a marketplace. In order to do so responsibly, these socially consequen... | [
10650
] | Train |
25,047 | 29 | Title: Load Balancing with Job-Size Testing: Performance Improvement or Degradation?
Abstract: In the context of decision making under explorable uncertainty, scheduling with testing is a powerful technique used in the management of computer systems to improve performance via better job-dispatching decisions. Upon job ... | [] | Train |
25,048 | 16 | Title: Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception
Abstract: We present Integrated Multimodal Perception (IMP), a simple and scalable multimodal multi-task training and modeling approach. IMP integrates multimodal inputs including image, video, text, and audio into a single ... | [
12221,
37070,
46197
] | Train |
25,049 | 30 | Title: Knowledge Graph Completion Method Combined With Adaptive Enhanced Semantic Information
Abstract: Translation models tend to ignore the rich semantic information in triads in the process of knowledge graph complementation. To remedy this shortcoming, this paper constructs a knowledge graph complementation method ... | [] | Train |
25,050 | 24 | Title: Electricity Demand Forecasting with Hybrid Statistical and Machine Learning Algorithms: Case Study of Ukraine
Abstract: This article presents a novel hybrid approach using statistics and machine learning to forecast the national demand of electricity. As investment and operation of future energy systems require ... | [] | Test |
25,051 | 4 | Title: Secrets Revealed in Container Images: An Internet-wide Study on Occurrence and Impact
Abstract: Containerization allows bundling applications and their dependencies into a single image. The containerization framework Docker eases the use of this concept and enables sharing images publicly, gaining high momentum.... | [] | Train |
25,052 | 1 | Title: Watch or Listen: Robust Audio-Visual Speech Recognition with Visual Corruption Modeling and Reliability Scoring
Abstract: This paper deals with Audio-Visual Speech Recognition (AVSR) under multimodal input corruption situations where audio inputs and visual inputs are both corrupted, which is not well addressed ... | [
6440,
22602,
36618,
28234
] | Train |
25,053 | 24 | Title: Hybrid-Physical Probabilistic Forecasting for a Set of Photovoltaic Systems using Recurrent Neural Networks
Abstract: Accurate intra-day forecasts of the power output by PhotoVoltaic (PV) systems are critical to improve the operation of energy distribution grids. We describe a hybrid-physical model, which aims a... | [] | Validation |
25,054 | 16 | Title: Principlism Guided Responsible Data Curation
Abstract: Human-centric computer vision (HCCV) data curation practices often neglect privacy and bias concerns, leading to dataset retractions and unfair models. Further, HCCV datasets constructed through nonconsensual web scraping lack the necessary metadata for comp... | [
33128,
29537,
8931,
22524
] | Train |
25,055 | 24 | Title: Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization
Abstract: Out-of-distribution (OOD) generalization deals with the prevalent learning scenario where test distribution shifts from training distribution. With rising application demands and inherent complexity, graph OOD problems cal... | [
31519
] | Test |
25,056 | 24 | Title: A Bayesian Perspective for Determinant Minimization Based Robust Structured Matrix Factorizatio
Abstract: We introduce a Bayesian perspective for the structured matrix factorization problem. The proposed framework provides a probabilistic interpretation for existing geometric methods based on determinant minimiz... | [] | Validation |
25,057 | 16 | Title: 3D-aware Conditional Image Synthesis
Abstract: We propose pix2pix3D, a 3D-aware conditional generative model for controllable photorealistic image synthesis. Given a 2D label map, such as a segmentation or edge map, our model learns to synthesize a corresponding image from different viewpoints. To enable explici... | [
42214,
3912,
1002,
11405,
28379
] | Train |
25,058 | 27 | Title: Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model
Abstract: In autonomous navigation settings, several quantities can be subject to variations. Terrain properties such as friction coefficients may vary over time depending on the location of the robot. Also, the dynamics... | [] | Validation |
25,059 | 16 | Title: REACT2023: the first Multi-modal Multiple Appropriate Facial Reaction Generation Challenge
Abstract: The Multi-modal Multiple Appropriate Facial Reaction Generation Challenge (REACT2023) is the first competition event focused on evaluating multimedia processing and machine learning techniques for generating huma... | [
25287,
31912,
10028,
33972,
29595
] | Test |
25,060 | 34 | Title: Online hitting set of d-dimensional fat objects
Abstract: We consider an online version of the geometric minimum hitting set problem that can be described as a game between an adversary and an algorithm. For some integers $d$ and $N$, let $P$ be the set of points in $(0, N)^d$ with integral coordinates, and let ... | [
2174
] | Train |
25,061 | 9 | Title: On the power of counting the total number of computation paths of NPTMs
Abstract: Complexity classes defined by modifying the acceptance condition of NP computations have been extensively studied. For example, the class UP, which contains decision problems solvable by non-deterministic polynomial-time Turing mac... | [
16335
] | Train |
25,062 | 16 | Title: March in Chat: Interactive Prompting for Remote Embodied Referring Expression
Abstract: Many Vision-and-Language Navigation (VLN) tasks have been proposed in recent years, from room-based to object-based and indoor to outdoor. The REVERIE (Remote Embodied Referring Expression) is interesting since it only provid... | [] | Validation |
25,063 | 24 | Title: SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning
Abstract: Subgraph-based graph representation learning (SGRL) has recently emerged as a powerful tool in many prediction tasks on graphs due to its advantages in model expressiveness and generalization ability. Most previ... | [] | Train |
25,064 | 16 | Title: Targeted Background Removal Creates Interpretable Feature Visualizations
Abstract: Feature visualization is used to visualize learned features for black box machine learning models. Our approach explores an altered training process to improve interpretability of the visualizations. We argue that by using backgro... | [] | Train |
25,065 | 24 | Title: Forecasting Pressure Of Ventilator Using A Hybrid Deep Learning Model Built With Bi-LSTM and Bi-GRU To Simulate Ventilation
Abstract: A ventilator simulation system can make mechanical ventilation easier and more effective. As a result, predicting a patient's ventilator pressure is essential when designing a sim... | [] | Validation |
25,066 | 27 | Title: Robotic Sonographer: Autonomous Robotic Ultrasound using Domain Expertise in Bayesian Optimization
Abstract: Ultrasound is a vital imaging modality utilized for a variety of diagnostic and interventional procedures. However, an expert sonographer is required to make accurate maneuvers of the probe over the human... | [
35089
] | Train |
25,067 | 30 | Title: Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal Classification
Abstract: Social media is daily creating massive multimedia content with paired image and text, presenting the pressing need to automate the vision and language understanding for various multimodal classification tasks... | [
11354,
15955
] | Train |
25,068 | 31 | Title: Query Performance Prediction: From Ad-hoc to Conversational Search
Abstract: Query performance prediction (QPP) is a core task in information retrieval. The QPP task is to predict the retrieval quality of a search system for a query without relevance judgments. Research has shown the effectiveness and usefulness... | [] | Test |
25,069 | 4 | Title: Poisoning Attacks and Defenses in Federated Learning: A Survey
Abstract: —Federated learning (FL) enables the training of models among distributed clients without compromising the privacy of training datasets, while the invisibility of clients’ datasets and the training process poses a variety of security threat... | [] | Train |
25,070 | 27 | Title: Variational Integrators and Graph-Based Solvers for Multibody Dynamics in Maximal Coordinates
Abstract: Multibody dynamics simulators are an important tool in many fields, including learning and control for robotics. However, many existing dynamics simulators suffer from inaccuracies when dealing with constraine... | [] | Train |
25,071 | 30 | Title: GPT-NER: Named Entity Recognition via Large Language Models
Abstract: Despite the fact that large-scale Language Models (LLM) have achieved SOTA performances on a variety of NLP tasks, its performance on NER is still significantly below supervised baselines. This is due to the gap between the two tasks the NER a... | [
14368,
30787,
13700,
35556,
45605,
28807,
22376,
21610,
12941,
38897,
13495,
26552,
13978,
18683,
44318,
40735
] | Train |
25,072 | 16 | Title: Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models
Abstract: The introduction of diffusion models in anomaly detection has paved the way for more effective and accurate image reconstruction in pathologies. However, the current limitation... | [
8308
] | Validation |
25,073 | 16 | Title: Dynamic Clustering Transformer Network for Point Cloud Segmentation
Abstract: Point cloud segmentation is one of the most important tasks in computer vision with widespread scientific, industrial, and commercial applications. The research thereof has resulted in many breakthroughs in 3D object and scene understa... | [] | Train |
25,074 | 24 | Title: Approximate Answering of Graph Queries
Abstract: Knowledge graphs (KGs) are inherently incomplete because of incomplete world knowledge and bias in what is the input to the KG. Additionally, world knowledge constantly expands and evolves, making existing facts deprecated or introducing new ones. However, we woul... | [
15293
] | Train |
25,075 | 30 | Title: Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text?
Abstract: Large language models (LLMs) such as ChatGPT are increasingly being used for various use cases, including text content generation at scale. Although detection methods for such AI-generated text exist already, we investigate ChatGPT's perfor... | [
13700,
20228,
1416,
39438,
36751,
43930,
33220,
13510,
17606,
22476,
18134,
39642,
38235,
12128,
39392,
35427,
497,
28924,
35580
] | Train |
25,076 | 24 | Title: Extracting Digital Biomarkers for Unobtrusive Stress State Screening from Multimodal Wearable Data
Abstract: With the development of wearable technologies, a new kind of healthcare data has become valuable as medical information. These data provide meaningful information regarding an individual's physiological a... | [] | Validation |
25,077 | 24 | Title: Multi-Source Domain Adaptation through Dataset Dictionary Learning in Wasserstein Space
Abstract: This paper seeks to solve Multi-Source Domain Adaptation (MSDA), which aims to mitigate data distribution shifts when transferring knowledge from multiple labeled source domains to an unlabeled target domain. We pro... | [
41912,
8846,
30448
] | Train |
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