node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
44,978 | 16 | Title: RFDforFin: Robust Deep Forgery Detection for GAN-generated Fingerprint Images
Abstract: With the rapid development of the image generation technologies, the malicious abuses of the GAN-generated fingerprint images poses a significant threat to the public safety in certain circumstances. Although the existing uni... | [] | Train |
44,979 | 16 | Title: ForensicsForest Family: A Series of Multi-scale Hierarchical Cascade Forests for Detecting GAN-generated Faces
Abstract: The prominent progress in generative models has significantly improved the reality of generated faces, bringing serious concerns to society. Since recent GAN-generated faces are in high realis... | [] | Train |
44,980 | 27 | Title: Uncertainty-bounded Active Monitoring of Unknown Dynamic Targets in Road-networks with Minimum Fleet
Abstract: Fleets of unmanned robots can be beneficial for the long-term monitoring of large areas, e.g., to monitor wild flocks, detect intruders, search and rescue. Monitoring numerous dynamic targets in a colla... | [] | Train |
44,981 | 16 | Title: FashionLOGO: Prompting Multimodal Large Language Models for Fashion Logo Embeddings
Abstract: Logo embedding plays a crucial role in various e-commerce applications by facilitating image retrieval or recognition, such as intellectual property protection and product search. However, current methods treat logo emb... | [
10624,
37987,
13700,
37765,
8903,
12527,
41104,
15413,
30745,
3609,
1854
] | Validation |
44,982 | 3 | Title: Examining the Production of Co-active Channels on YouTube and BitChute
Abstract: A concern among content moderation researchers is that hard moderation measures, such as banning content producers, will push users to more extreme information environments. Research in this area is still new, but predominately focu... | [] | Test |
44,983 | 1 | Title: CANF-VC++: Enhancing Conditional Augmented Normalizing Flows for Video Compression with Advanced Techniques
Abstract: Video has become the predominant medium for information dissemination, driving the need for efficient video codecs. Recent advancements in learned video compression have shown promising results, ... | [] | Train |
44,984 | 16 | Title: Learning Generalized Hybrid Proximity Representation for Image Recognition
Abstract: Recently, deep metric learning techniques received attentions, as the learned distance representations are useful to capture the similarity relationship among samples and further improve the performance of various of supervised ... | [
20252
] | Test |
44,985 | 16 | Title: Generalized Universal Domain Adaptation with Generative Flow Networks
Abstract: We introduce a new problem in unsupervised domain adaptation, termed as Generalized Universal Domain Adaptation (GUDA), which aims to achieve precise prediction of all target labels including unknown categories. GUDA bridges the gap ... | [
32324,
39620,
12108,
42990,
7862,
13656,
2746
] | Train |
44,986 | 24 | Title: Why Using Either Aggregated Features or Adjacency Lists in Directed or Undirected Graph? Empirical Study and Simple Classification Method
Abstract: Node classification is one of the hottest tasks in graph analysis. In this paper, we focus on the choices of node representations (aggregated features vs. adjacency ... | [
9649
] | Train |
44,987 | 16 | Title: Improving Scene Text Image Super-Resolution via Dual Prior Modulation Network
Abstract: Scene text image super-resolution (STISR) aims to simultaneously increase the resolution and legibility of the text images, and the resulting images will significantly affect the performance of downstream tasks. Although nume... | [
32909
] | Validation |
44,988 | 16 | Title: Improving CLIP Training with Language Rewrites
Abstract: Contrastive Language-Image Pre-training (CLIP) stands as one of the most effective and scalable methods for training transferable vision models using paired image and text data. CLIP models are trained using contrastive loss, which typically relies on data... | [
13700,
13510,
16171,
29999,
25874
] | Validation |
44,989 | 4 | Title: The Synchronic Web
Abstract: The Synchronic Web is a distributed network for securing data provenance on the World Wide Web. By enabling clients around the world to freely commit digital information into a single shared view of history, it provides a foundational basis of truth on which to build decentralized an... | [] | Train |
44,990 | 16 | Title: Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification
Abstract: We present a novel language-driven ordering alignment method for ordinal classification. The labels in ordinal classification contain additional ordering relations, making them prone to overfitting w... | [
37200,
1658,
14629
] | Train |
44,991 | 30 | Title: Visually grounded few-shot word acquisition with fewer shots
Abstract: We propose a visually grounded speech model that acquires new words and their visual depictions from just a few word-image example pairs. Given a set of test images and a spoken query, we ask the model which image depicts the query word. Prev... | [] | Test |
44,992 | 4 | Title: Don’t FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs
Abstract: In this paper we investigate the frequency sensitivity of Deep Neural Networks (DNNs) when presented with clean samples versus poisoned samples. Our analysis shows significant disparities in frequency sensitiv... | [
21993,
1965
] | Train |
44,993 | 24 | Title: Mixed Precision Post Training Quantization of Neural Networks with Sensitivity Guided Search
Abstract: Serving large-scale machine learning (ML) models efficiently and with low latency has become challenging owing to increasing model size and complexity. Quantizing models can simultaneously reduce memory and com... | [
30441,
21410
] | Validation |
44,994 | 6 | Title: Modeling Cognitive-Affective Processes with Appraisal and Reinforcement Learning
Abstract: Computational models can advance affective science by shedding light onto the interplay between cognition and emotion from an information processing point of view. We propose a computational model of emotion that integrate... | [] | Validation |
44,995 | 16 | Title: Flexible-modal Deception Detection with Audio-Visual Adapter
Abstract: Detecting deception by human behaviors is vital in many fields such as custom security and multimedia anti-fraud. Recently, audio-visual deception detection attracts more attention due to its better performance than using only a single modali... | [] | Train |
44,996 | 24 | Title: Efficient anomaly detection method for rooftop PV systems using big data and permutation entropy
Abstract: The number of rooftop photovoltaic (PV) systems has significantly increased in recent years around the globe, including in Australia. This trend is anticipated to continue in the next few years. Given their... | [] | Train |
44,997 | 24 | Title: Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems
Abstract: Bilevel Optimization has witnessed notable progress recently with new emerging efficient algorithms, yet it is underexplored in the Federated Learning setting. It is unclear how the challenges of Federated... | [
3653
] | Validation |
44,998 | 31 | Title: The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples
Abstract: Deep learning-based recommender systems have become an integral part of several online platforms. However, their black-box nature emphasizes the need for explainable artificial intelligence (XAI) approaches to pro... | [
7742,
5961,
7350
] | Validation |
44,999 | 24 | Title: Energy Transformer
Abstract: Transformers have become the de facto models of choice in machine learning, typically leading to impressive performance on many applications. At the same time, the architectural development in the transformer world is mostly driven by empirical findings, and the theoretical understan... | [
20592,
27880,
15901
] | Train |
45,000 | 30 | Title: MultiTurnCleanup: A Benchmark for Multi-Turn Spoken Conversational Transcript Cleanup
Abstract: Current disfluency detection models focus on individual utterances each from a single speaker. However, numerous discontinuity phenomena in spoken conversational transcripts occur across multiple turns, hampering huma... | [] | Train |
45,001 | 23 | Title: Defectors: A Large, Diverse Python Dataset for Defect Prediction
Abstract: Defect prediction has been a popular research topic where machine learning (ML) and deep learning (DL) have found numerous applications. However, these ML/DL-based defect prediction models are often limited by the quality and size of thei... | [] | Train |
45,002 | 10 | Title: XRoute Environment: A Novel Reinforcement Learning Environment for Routing
Abstract: Routing is a crucial and time-consuming stage in modern design automation flow for advanced technology nodes. Great progress in the field of reinforcement learning makes it possible to use those approaches to improve the routing... | [] | Train |
45,003 | 6 | Title: Social Wormholes: Exploring Preferences and Opportunities for Distributed and Physically-Grounded Social Connections
Abstract: Ubiquitous computing encapsulates the idea for technology to be interwoven into the fabric of everyday life. As computing blends into everyday physical artifacts, powerful opportunities ... | [] | Validation |
45,004 | 24 | Title: A Neural RDE-based model for solving path-dependent PDEs
Abstract: The concept of the path-dependent partial differential equation (PPDE) was first introduced in the context of path-dependent derivatives in financial markets. Its semilinear form was later identified as a non-Markovian backward stochastic differe... | [] | Validation |
45,005 | 34 | Title: Online variable-weight scheduling with preempting on jobs with linear and exponential penalties
Abstract: We analyze the problem of job scheduling with preempting on weighted jobs that can have either linear or exponential penalties. We review relevant literature on the problem and create and describe a few onli... | [] | Validation |
45,006 | 16 | Title: Transformation-Invariant Network for Few-Shot Object Detection in Remote Sensing Images
Abstract: Object detection in remote sensing images relies on a large amount of labeled data for training. However, the increasing number of new categories and class imbalance make exhaustive annotation impractical. Few-shot ... | [
37250,
2782,
14639
] | Test |
45,007 | 30 | Title: What are Public Concerns about ChatGPT? A Novel Self-Supervised Neural Topic Model Tells You
Abstract: The recently released artificial intelligence conversational agent, ChatGPT, has gained significant attention in academia and real life. A multitude of early ChatGPT users eagerly explore its capabilities and s... | [
4878
] | Test |
45,008 | 30 | Title: Analysis of the Fed's communication by using textual entailment model of Zero-Shot classification
Abstract: In this study, we analyze documents published by central banks using text mining techniques and propose a method to evaluate the policy tone of central banks. Since the monetary policies of major central b... | [] | Train |
45,009 | 4 | Title: RYDE: A Digital Signature Scheme based on Rank-Syndrome-Decoding Problem with MPCitH Paradigm
Abstract: We present a signature scheme based on the Syndrome-Decoding problem in rank metric. It is a construction from multi-party computation (MPC), using a MPC protocol which is a slight improvement of the linearize... | [] | Train |
45,010 | 4 | Title: mdTLS: How to Make middlebox-aware TLS more efficient?
Abstract: The more data transmission over TLS protocol becomes increasingly common in IT Systems, the more middleboxes are deployed in networks. These middleboxes have several advantages, however, they become the target of cyber-attacks. Many researchers pro... | [] | Train |
45,011 | 36 | Title: Partitioned Matching Games for International Kidney Exchange
Abstract: We introduce partitioned matching games as a suitable model for international kidney exchange programmes, where in each round the total number of available kidney transplants needs to be distributed amongst the participating countries in a"fa... | [] | Train |
45,012 | 7 | Title: Phase field modelling and simulation of damage occurring in human vertebra after screws fixation procedure
Abstract: The present endeavor numerically exploits the use of a phase-field model to simulate and investigate fracture patterns, deformation mechanisms, damage, and mechanical responses in a human vertebra... | [] | Test |
45,013 | 24 | Title: DocILE 2023 Teaser: Document Information Localization and Extraction
Abstract: The lack of data for information extraction (IE) from semi-structured business documents is a real problem for the IE community. Publications relying on large-scale datasets use only proprietary, unpublished data due to the sensitive ... | [
7689
] | Validation |
45,014 | 30 | Title: OWQ: Lessons learned from activation outliers for weight quantization in large language models
Abstract: Large language models (LLMs) with hundreds of billions of parameters show impressive results across various language tasks using simple prompt tuning and few-shot examples, without the need for task-specific ... | [
6979,
13700,
37438
] | Train |
45,015 | 36 | Title: Connectivity in the presence of an opponent
Abstract: The paper introduces two player connectivity games played on finite bipartite graphs. Algorithms that solve these connectivity games can be used as subroutines for solving M\"uller games. M\"uller games constitute a well established class of games in model ch... | [] | Train |
45,016 | 24 | Title: A Survey of Federated Learning for Connected and Automated Vehicles
Abstract: Connected and Automated Vehicles (CAVs) are one of the emerging technologies in the automotive domain that has the potential to alleviate the issues of accidents, traffic congestion, and pollutant emissions, leading to a safe, efficien... | [
17218,
42930,
10644,
7735,
7416,
20058,
8412
] | Train |
45,017 | 24 | Title: Leveraging Generative AI Models for Synthetic Data Generation in Healthcare: Balancing Research and Privacy
Abstract: The widespread adoption of electronic health records and digital healthcare data has created a demand for data-driven insights to enhance patient outcomes, diagnostics, and treatments. However, u... | [
37293
] | Test |
45,018 | 30 | Title: Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
Abstract: Large Language Models (LLMs) have made remarkable strides in various tasks. However, whether they are competitive few-shot solvers for information extraction (IE) tasks and surpass fine-tuned small ... | [
12128,
14272,
36545,
40192,
6537,
21006,
16527,
39600,
36178,
4051,
34423,
2234,
9917,
18686
] | Validation |
45,019 | 34 | Title: Worst Case and Probabilistic Analysis of the 2-Opt Algorithm for the TSP
Abstract: nan | [
41513,
32490
] | Train |
45,020 | 16 | Title: SparseVSR: Lightweight and Noise Robust Visual Speech Recognition
Abstract: Recent advances in deep neural networks have achieved unprecedented success in visual speech recognition. However, there remains substantial disparity between current methods and their deployment in resource-constrained devices. In this ... | [
25698
] | Test |
45,021 | 24 | Title: Learning unidirectional coupling using echo-state network
Abstract: Reservoir Computing has found many potential applications in the field of complex dynamics. In this article, we explore the exceptional capability of the echo-state network (ESN) model to make it learn a unidirectional coupling scheme from only ... | [] | Validation |
45,022 | 16 | Title: Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation
Abstract: For video models to be transferred and applied seamlessly across video tasks in varied environments, Video Unsupervised Domain Adaptation (VUDA) has been introduced to improve the robustness and transferability of video models. Howev... | [] | Train |
45,023 | 30 | Title: The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers
Abstract: Applying language models to natural language processing tasks typically relies on the representations in the final model layer, as intermediate hidden layer representations are presumed to be less informative. In this work, we arg... | [
30331
] | Train |
45,024 | 24 | Title: Distill n' Explain: explaining graph neural networks using simple surrogates
Abstract: Explaining node predictions in graph neural networks (GNNs) often boils down to finding graph substructures that preserve predictions. Finding these structures usually implies back-propagating through the GNN, bonding the comp... | [
34887,
12943
] | Test |
45,025 | 24 | Title: Unsupervised Cross-Domain Soft Sensor Modelling via Deep Physics-Inspired Particle Flow Bayes
Abstract: Data-driven soft sensors are essential for achieving accurate perception through reliable state inference. However, developing representative soft sensor models is challenged by issues such as missing labels, ... | [
27862
] | Train |
45,026 | 4 | Title: The Benefits of Vulnerability Discovery and Bug Bounty Programs: Case Studies of Chromium and Firefox
Abstract: Recently, bug-bounty programs have gained popularity and become a significant part of the security culture of many organizations. Bug-bounty programs enable organizations to enhance their security post... | [
10553
] | Test |
45,027 | 27 | Title: Volumetric Occupancy Detection: A Comparative Analysis of Mapping Algorithms
Abstract: Despite the growing interest in innovative functionalities for collaborative robotics, volumetric detection remains indispensable for ensuring basic security. However, there is a lack of widely used volumetric detection framew... | [] | Train |
45,028 | 16 | Title: GridMM: Grid Memory Map for Vision-and-Language Navigation
Abstract: Vision-and-language navigation (VLN) enables the agent to navigate to a remote location following the natural language instruction in 3D environments. To represent the previously visited environment, most approaches for VLN implement memory usi... | [
13842,
35005
] | Train |
45,029 | 18 | Title: Logical circuits in colloids
Abstract: Colloid-based computing devices offer remarkable fault tolerance and adaptability to varying environmental conditions due to their amorphous structure. An intriguing observation is that a colloidal suspension of ZnO nanoparticles in DMSO exhibits reconfiguration when expose... | [] | Test |
45,030 | 27 | Title: An Overview of Artificial Intelligence-based Soft Upper Limb Exoskeleton for Rehabilitation: A Descriptive Review
Abstract: The upper limb robotic exoskeleton is an electromechanical device which use to recover a patients motor dysfunction in the rehabilitation field. It can provide repetitive, comprehensive, fo... | [] | Train |
45,031 | 24 | Title: FedSSC: Shared Supervised-Contrastive Federated Learning
Abstract: —Federated learning is widely used to perform de- centralized training of a global model on multiple devices while preserving the data privacy of each device. However, it suffers from heterogeneous local data on each training device which increas... | [
31638
] | Train |
45,032 | 16 | Title: Learning to predict 3D rotational dynamics from images of a rigid body with unknown mass distribution
Abstract: In many real-world settings, image observations of freely rotating 3D rigid bodies, may be available when low-dimensional measurements are not. However, the high-dimensionality of image data precludes ... | [] | Train |
45,033 | 24 | Title: An Experimental Investigation into the Evaluation of Explainability Methods
Abstract: EXplainable Artificial Intelligence (XAI) aims to help users to grasp the reasoning behind the predictions of an Artificial Intelligence (AI) system. Many XAI approaches have emerged in recent years. Consequently, a subfield re... | [] | Validation |
45,034 | 16 | Title: Visual motion analysis of the player's finger
Abstract: This work is about the extraction of the motion of fingers, in their three articulations, of a keyboard player from a video sequence. The relevance of the problem involves several aspects, in fact, the extraction of the movements of the fingers may be used ... | [] | Validation |
45,035 | 30 | Title: Question Decomposition Tree for Answering Complex Questions over Knowledge Bases
Abstract: Knowledge base question answering (KBQA) has attracted a lot of interest in recent years, especially for complex questions which require multiple facts to answer. Question decomposition is a promising way to answer complex... | [] | Train |
45,036 | 16 | Title: Cloth2Tex: A Customized Cloth Texture Generation Pipeline for 3D Virtual Try-On
Abstract: Fabricating and designing 3D garments has become extremely demanding with the increasing need for synthesizing realistic dressed persons for a variety of applications, e.g. 3D virtual try-on, digitalization of 2D clothes in... | [
680,
34074,
12764
] | Train |
45,037 | 36 | Title: Bayesian Calibrated Click-Through Auction
Abstract: We study information design in click-through auctions, in which the bidders/advertisers bid for winning an opportunity to show their ads but only pay for realized clicks. The payment may or may not happen, and its probability is called the click-through rate(CT... | [] | Train |
45,038 | 4 | Title: VulMatch: Binary-level Vulnerability Detection Through Signature
Abstract: Similar vulnerability repeats in real-world software products because of code reuse, especially in wildly reused third-party code and libraries. Detecting repeating vulnerabilities like 1-day and N-day vulnerabilities is an important cybe... | [] | Test |
45,039 | 16 | Title: MLP-AIR: An Efficient MLP-Based Method for Actor Interaction Relation Learning in Group Activity Recognition
Abstract: The task of Group Activity Recognition (GAR) aims to predict the activity category of the group by learning the actor spatial-temporal interaction relation in the group. Therefore, an effective ... | [
34380
] | Train |
45,040 | 24 | Title: WeiAvg: Federated Learning Model Aggregation Promoting Data Diversity
Abstract: Federated learning provides a promising privacy-preserving way for utilizing large-scale private edge data from massive Internet-of-Things (IoT) devices. While existing research extensively studied optimizing the learning process, co... | [
10571,
1731
] | Train |
45,041 | 24 | Title: Solving Robust MDPs through No-Regret Dynamics
Abstract: Reinforcement Learning is a powerful framework for training agents to navigate different situations, but it is susceptible to changes in environmental dynamics. However, solving Markov Decision Processes that are robust to changes is difficult due to nonco... | [
24751
] | Test |
45,042 | 10 | Title: Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality
Abstract: Conflict-Based Search is one of the most popular methods for multi-agent path finding. Though it is complete and optimal, it does not scale well. Recent works have been proposed to accelerate it by introducing various... | [
2101
] | Train |
45,043 | 16 | Title: ACLS: Adaptive and Conditional Label Smoothing for Network Calibration
Abstract: We address the problem of network calibration adjusting miscalibrated confidences of deep neural networks. Many approaches to network calibration adopt a regularization-based method that exploits a regularization term to smooth the ... | [] | Train |
45,044 | 30 | Title: Reversing The Twenty Questions Game
Abstract: Twenty questions is a widely popular verbal game. In recent years, many computerized versions of this game have been developed in which a user thinks of an entity and a computer attempts to guess this entity by asking a series of boolean-type (yes/no) questions. In t... | [
11370
] | Train |
45,045 | 16 | Title: HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations
Abstract: Generating both plausible and accurate full body avatar motion is the key to the quality of immersive experiences in mixed reality scenarios. Head-Mounted Devices (HMDs) typically only provide a few input signals, such as head and ha... | [] | Train |
45,046 | 37 | Title: Knowledge Graphs Querying
Abstract: Knowledge graphs (KGs) such as DBpedia, Freebase, YAGO, Wikidata, and NELL were constructed to store large-scale, real-world facts as (subject, predicate, object) triples - that can also be modeled as a graph, where a node (a subject or an object) represents an entity with att... | [] | Train |
45,047 | 30 | Title: Disentangling Structure and Style: Political Bias Detection in News by Inducing Document Hierarchy
Abstract: We address an important gap in detection of political bias in news articles. Previous works that perform supervised document classification can be biased towards the writing style of each news outlet, lea... | [] | Test |
45,048 | 16 | Title: StarNet: Style-Aware 3D Point Cloud Generation
Abstract: This paper investigates an open research task of reconstructing and generating 3D point clouds. Most existing works of 3D generative models directly take the Gaussian prior as input for the decoder to generate 3D point clouds, which fail to learn disentang... | [] | Train |
45,049 | 7 | Title: A high-order fully Lagrangian particle level-set method for dynamic surfaces
Abstract: We present a fully Lagrangian particle level-set method based on high-order polynomial regression. This enables closest-point redistancing without requiring a regular Cartesian mesh, relaxing the need for particle-mesh interpo... | [] | Train |
45,050 | 24 | Title: Short: Basal-Adjust: Trend Prediction Alerts and Adjusted Basal Rates for Hyperglycemia Prevention
Abstract: Significant advancements in type 1 diabetes treatment have been made in the development of state-of-the-art Artificial Pancreas Systems (APS). However, lapses currently exist in the timely treatment of un... | [] | Train |
45,051 | 10 | Title: Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules
Abstract: Vector-borne diseases (VBDs) are a kind of infection caused through the transmission of vectors generated by the bites of infected parasites, bacteria, and viruses, such as ticks, mosquitoes, triatomine bugs, blac... | [] | Train |
45,052 | 28 | Title: Access-Redundancy Tradeoffs in Quantized Linear Computations
Abstract: Linear real-valued computations over distributed datasets are common in many applications, most notably as part of machine learning inference. In particular, linear computations which are quantized, i.e., where the coefficients are restricted... | [] | Test |
45,053 | 24 | Title: Transformers as Support Vector Machines
Abstract: Since its inception in"Attention Is All You Need", transformer architecture has led to revolutionary advancements in NLP. The attention layer within the transformer admits a sequence of input tokens $X$ and makes them interact through pairwise similarities comput... | [
1376,
40099,
13700,
2697,
36107,
41390,
31347,
8436,
2518
] | Train |
45,054 | 4 | Title: Network Message Field Type Clustering for Reverse Engineering of Unknown Binary Protocols
Abstract: Reverse engineering of unknown network protocols based on recorded traffic traces enables security analyses and debugging of undocumented network services. One important step in protocol reverse engineering is to ... | [] | Train |
45,055 | 16 | Title: Locality Preserving Multiview Graph Hashing for Large Scale Remote Sensing Image Search
Abstract: Hashing is very popular for remote sensing image search. This article proposes a multiview hashing with learnable parameters to retrieve the queried images for a large-scale remote sensing dataset. Existing methods ... | [] | Test |
45,056 | 28 | Title: Complementary Graph Entropy, AND Product, and Disjoint Union of Graphs
Abstract: In the zero-error Slepian-Wolf source coding problem, the optimal rate is given by the complementary graph entropy $\bar H$ of the characteristic graph. It has no single-letter formula, except for perfect graphs, for the pentagon gr... | [] | Test |
45,057 | 26 | Title: Unpacking the Essential Tension of Knowledge Recombination: Analyzing the Impact of Knowledge Spanning on Citation Counts and Disruptive Innovation
Abstract: Drawing on the theories of knowledge recombination, we aim to unpack the essential tension between tradition and innovation in scientific research. Using t... | [] | Test |
45,058 | 30 | Title: LogiCoT: Logical Chain-of-Thought Instruction-Tuning Data Collection with GPT-4
Abstract: Generative Pre-trained Transformer 4 (GPT-4) demonstrates impressive chain-of-thought reasoning ability. Recent work on self-instruction tuning, such as Alpaca, has focused on enhancing the general proficiency of models. Th... | [
13345,
25892,
35556,
4071,
6353,
4438
] | Train |
45,059 | 4 | Title: Security-Aware Approximate Spiking Neural Networks
Abstract: Deep Neural Networks (DNNs) and Spiking Neural Networks (SNNs) are both known for their susceptibility to adversarial attacks. Therefore, researchers in the recent past have extensively studied the robustness and defense of DNNs and SNNs under adversar... | [] | Test |
45,060 | 24 | Title: Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data
Abstract: In this paper, we propose a feature affinity (FA) assisted knowledge distillation (KD) method to improve quantization-aware training of deep neural networks (DNN). The FA loss on intermediate fe... | [] | Train |
45,061 | 4 | Title: A tool assisted methodology to harden programs against multi-faults injections
Abstract: Fault attacks consist in changing the program behavior by injecting faults at run-time in order to break some expected security properties. Applications are hardened against fault attack adding countermeasures. According to ... | [
2581
] | Train |
45,062 | 27 | Title: Challenges of Indoor SLAM: A multi-modal multi-floor dataset for SLAM evaluation
Abstract: Robustness in Simultaneous Localization and Mapping (SLAM) remains one of the key challenges for the real-world deployment of autonomous systems. SLAM research has seen significant progress in the last two and a half decad... | [] | Test |
45,063 | 16 | Title: Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis
Abstract: This paper shows the machine learning system which performs instance segmentation of cytological images in veterinary medicine. Eleven cell types were used directly and indirectly in the experiments, including damage... | [
19439
] | Train |
45,064 | 16 | Title: Fashion Image Retrieval with Multi-Granular Alignment
Abstract: Fashion image retrieval task aims to search relevant clothing items of a query image from the gallery. The previous recipes focus on designing different distance-based loss functions, pulling relevant pairs to be close and pushing irrelevant images ... | [] | Validation |
45,065 | 28 | Title: Multi-Active/Passive-IRS Enabled Wireless Information and Power Transfer: Active IRS Deployment and Performance Analysis
Abstract: Intelligent reflecting surfaces (IRSs), active and/or passive, can be densely deployed in complex environments to significantly enhance wireless network coverage for both wireless in... | [] | Train |
45,066 | 4 | Title: A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks
Abstract: Network Intrusion Detection System (NIDS) is an essential tool in securing cyberspace from a variety of security risks and unknown cyberattacks. A number of solutions have been implemented for Mac... | [
5259
] | Validation |
45,067 | 26 | Title: Effective Vaccination Strategies in Network-based SIR Model
Abstract: Controlling and understanding epidemic outbreaks has recently drawn great interest in a large spectrum of research communities. Vaccination is one of the most well-established and effective strategies in order to contain an epidemic. In the pr... | [] | Train |
45,068 | 16 | Title: Benchmarking of Cancelable Biometrics for Deep Templates
Abstract: In this paper, we benchmark several cancelable biometrics (CB) schemes on different biometric characteristics. We consider BioHashing, Multi-Layer Perceptron (MLP) Hashing, Bloom Filters, and two schemes based on Index-of-Maximum (IoM) Hashing (i... | [] | Validation |
45,069 | 6 | Title: Extensible Motion-based Identification of XR Users using Non-Specific Motion Data
Abstract: In this paper, we combine the strengths of distance-based and classification-based approaches for the task of identifying extended reality users by their movements. For this we explore an embedding-based model that levera... | [
45889
] | Validation |
45,070 | 16 | Title: Automatic Measures for Evaluating Generative Design Methods for Architects
Abstract: The recent explosion of high-quality image-to-image methods has prompted interest in applying image-to-image methods towards artistic and design tasks. Of interest for architects is to use these methods to generate design propos... | [
34074
] | Train |
45,071 | 24 | Title: Adversarial Defenses via Vector Quantization
Abstract: Building upon Randomized Discretization, we develop two novel adversarial defenses against white-box PGD attacks, utilizing vector quantization in higher dimensional spaces. These methods, termed pRD and swRD, not only offer a theoretical guarantee in terms ... | [] | Train |
45,072 | 28 | Title: Heterogeneous Drone Small Cells: Optimal 3D Placement for Downlink Power Efficiency and Rate Satisfaction
Abstract: In this paper, we consider a heterogeneous repository of drone-enabled aerial base stations with varying transmit powers that provide downlink wireless coverage for ground users. One particular cha... | [] | Train |
45,073 | 27 | Title: Payload Grasping and Transportation by a Quadrotor with a Hook-Based Manipulator
Abstract: The paper proposes an efficient trajectory planning and control approach for payload grasping and transportation using an aerial manipulator. The proposed manipulator structure consists of a hook attached to a quadrotor us... | [] | Train |
45,074 | 24 | Title: Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
Abstract: Adversarial training is widely used to make classifiers robust to a specific threat or adversary, such as lp- norm bounded perturbations of a given p-norm. However, existing methods for training classifiers robust to mu... | [
36593,
44537,
12142
] | Validation |
45,075 | 30 | Title: Models of reference production: How do they withstand the test of time?
Abstract: In recent years, many NLP studies have focused solely on performance improvement. In this work, we focus on the linguistic and scientific aspects of NLP. We use the task of generating referring expressions in context (REG-in-contex... | [] | Test |
45,076 | 24 | Title: Causal-learn: Causal Discovery in Python
Abstract: Causal discovery aims at revealing causal relations from observational data, which is a fundamental task in science and engineering. We describe $\textit{causal-learn}$, an open-source Python library for causal discovery. This library focuses on bringing a compr... | [
29294
] | Train |
45,077 | 30 | Title: Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges
Abstract: Gender inclusivity in language technologies has become a prominent research topic. In this study, we explore gender-neutral translation (GNT) as a form of gender inclusivity and a goal to be achi... | [] | Train |
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