node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
34,478 | 34 | Title: From Specific to Generic Learned Sorted Set Dictionaries: A Theoretically Sound Paradigm Yelding Competitive Data Structural Boosters in Practice
Abstract: This research concerns Learned Data Structures, a recent area that has emerged at the crossroad of Machine Learning and Classic Data Structures. It is method... | [] | Train |
34,479 | 30 | Title: Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation
Abstract: Goal-oriented Script Generation is a new task of generating a list of steps that can fulfill the given goal. In this paper, we propose to extend the task from the perspective of cognitive theory. Instead of a simp... | [] | Train |
34,480 | 10 | Title: Efficiently Explaining CSPs with Unsatisfiable Subset Optimization
Abstract: We build on a recently proposed method for explaining solutions of constraint satisfaction problems. An explanation here is a sequence of simple inference steps, where the simplicity of an inference step is measured by the number and ty... | [] | Test |
34,481 | 18 | Title: Building Intelligence in the Mechanical Domain - Harvesting the Reservoir Computing Power in Origami to Achieve Information Perception Tasks
Abstract: In this paper, we experimentally examine the cognitive capability of a simple, paper-based Miura-ori -- using the physical reservoir computing framework -- to ach... | [] | Train |
34,482 | 27 | Title: Polybot: Training One Policy Across Robots While Embracing Variability
Abstract: Reusing large datasets is crucial to scale vision-based robotic manipulators to everyday scenarios due to the high cost of collecting robotic datasets. However, robotic platforms possess varying control schemes, camera viewpoints, k... | [
4385,
8324
] | Validation |
34,483 | 27 | Title: Finite Element Modeling of Pneumatic Bending Actuators for Inflated-Beam Robots
Abstract: Inflated-beam soft robots, such as tip-everting vine robots, can control their curvature by contracting one side of the beam using pneumatic actuation. In this work, a general finite element modeling approach is developed a... | [
32026,
8429
] | Train |
34,484 | 28 | Title: A Digital Twin Assisted Framework for Interference Nulling in Millimeter Wave MIMO Systems
Abstract: Millimeter wave (mmWave) and terahertz MIMO systems rely on pre-defined beamforming codebooks for both initial access and data transmission. However, most of the existing codebooks adopt pre-defined beams that fo... | [] | Validation |
34,485 | 27 | Title: The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration
Abstract: As high-speed, agile robots become more commonplace, these robots will have the potential to better aid and collaborate with humans. However, due to the increased agility and functionality of these robots, c... | [
38794
] | Train |
34,486 | 16 | Title: Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression
Abstract: Recent vision architectures and self-supervised training methods enable vision models that are extremely accurate and general, but come with massive parameter and computational costs. In practical settings, such as camera ... | [
12851,
20375
] | Validation |
34,487 | 20 | Title: Dual-Quaternion Julia Fractals
Abstract: Fractals offer the ability to generate fascinating geometric shapes with all sorts of unique characteristics (for instance, fractal geometry provides a basis for modelling infinite detail found in nature). While fractals are non-euclidean mathematical objects which posses... | [] | Test |
34,488 | 16 | Title: Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
Abstract: Accurately estimating the 3D pose and shape is an essential step towards understanding animal behavior, and can potentially benefit many downstream applications, such as wildlife conservation. However, research in this area is held back by t... | [] | Test |
34,489 | 24 | Title: Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs
Abstract: We study reward-free reinforcement learning (RL) with linear function approximation, where the agent works in two phases: (1) in the exploration phase, the agent interacts with the environment but cannot access the reward; and (2) in ... | [
38127
] | Train |
34,490 | 24 | Title: Learning to Generalize Provably in Learning to Optimize
Abstract: Learning to optimize (L2O) has gained increasing popularity, which automates the design of optimizers by data-driven approaches. However, current L2O methods often suffer from poor generalization performance in at least two folds: (i) applying the... | [] | Train |
34,491 | 30 | Title: A Survey on Long Text Modeling with Transformers
Abstract: Modeling long texts has been an essential technique in the field of natural language processing (NLP). With the ever-growing number of long documents, it is important to develop effective modeling methods that can process and analyze such texts. However,... | [
20402,
37642,
24503
] | Test |
34,492 | 30 | Title: Explaining Math Word Problem Solvers
Abstract: Automated math word problem solvers based on neural networks have successfully managed to obtain 70-80% accuracy in solving arithmetic word problems. However, it has been shown that these solvers may rely on superficial patterns to obtain their equations. In order t... | [] | Validation |
34,493 | 23 | Title: What Do Code Models Memorize? An Empirical Study on Large Language Models of Code
Abstract: The availability of large-scale datasets, advanced architectures, and powerful computational resources have led to effective code models that automate diverse software engineering activities. The datasets usually consist ... | [
32450,
14659,
18984,
12170,
25227,
28112,
25522,
35730,
14869,
40565,
21759
] | Train |
34,494 | 24 | Title: Learning-Augmented Decentralized Online Convex Optimization in Networks
Abstract: This paper studies decentralized online convex optimization in a networked multi-agent system and proposes a novel algorithm, Learning-Augmented Decentralized Online optimization (LADO), for individual agents to select actions only... | [] | Train |
34,495 | 27 | Title: Subgoal-Driven Navigation in Dynamic Environments Using Attention-Based Deep Reinforcement Learning
Abstract: Collision-free, goal-directed navigation in environments containing unknown static and dynamic obstacles is still a great challenge, especially when manual tuning of navigation policies or costly motion ... | [] | Train |
34,496 | 24 | Title: Edge Intelligence Over the Air: Two Faces of Interference in Federated Learning
Abstract: Federated edge learning is envisioned as the bedrock of enabling intelligence in next-generation wireless networks, but the limited spectral resources often constrain its scalability. In light of this challenge, a line of r... | [] | Validation |
34,497 | 16 | Title: Shape-Constraint Recurrent Flow for 6D Object Pose Estimation
Abstract: Most recent 6D object pose methods use 2D optical flow to refine their results. However, the general optical flow methods typically do not consider the target's 3D shape information during matching, making them less effective in 6D object po... | [
20768,
36257,
21802
] | Train |
34,498 | 16 | Title: How Much Temporal Long-Term Context is Needed for Action Segmentation?
Abstract: Modeling long-term context in videos is crucial for many fine-grained tasks including temporal action segmentation. An interesting question that is still open is how much long-term temporal context is needed for optimal performance.... | [
10022
] | Train |
34,499 | 6 | Title: The Entoptic Field Camera as Metaphor-Driven Research-through-Design with AI Technologies
Abstract: Artificial intelligence (AI) technologies are widely deployed in smartphone photography; and prompt-based image synthesis models have rapidly become commonplace. In this paper, we describe a Research-through-Desig... | [] | Train |
34,500 | 4 | Title: Enabling Lightweight Privilege Separation in Applications with MicroGuards
Abstract: Application compartmentalization and privilege separation are our primary weapons against ever-increasing security threats and privacy concerns on connected devices. Despite significant progress, it is still challenging to privi... | [] | Train |
34,501 | 16 | Title: Blind Inpainting with Object-aware Discrimination for Artificial Marker Removal
Abstract: Medical images often contain artificial markers added by doctors, which can negatively affect the accuracy of AI-based diagnosis. To address this issue and recover the missing visual contents, inpainting techniques are high... | [
38713
] | Train |
34,502 | 30 | Title: ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles
Abstract: Automatically generating textual content with desired attributes is an ambitious task that people have pursued long. Existing works have made a series of progress in incorporating unimodal controls into language models (LM... | [
30388,
36382
] | Train |
34,503 | 16 | Title: Lazy Visual Localization via Motion Averaging
Abstract: Visual (re)localization is critical for various applications in computer vision and robotics. Its goal is to estimate the 6 degrees of freedom (DoF) camera pose for each query image, based on a set of posed database images. Currently, all leading solutions ... | [] | Validation |
34,504 | 27 | Title: Efficient Implicit Neural Reconstruction Using LiDAR
Abstract: Modeling scene geometry using implicit neural representation has revealed its advantages in accuracy, flexibility, and low memory usage. Previous approaches have demonstrated impressive results using color or depth images but still have difficulty ha... | [
28937
] | Train |
34,505 | 15 | Title: VEDLIoT: Next generation accelerated AIoT systems and applications
Abstract: The VEDLIoT project aims to develop energy-efficient Deep Learning methodologies for distributed Artificial Intelligence of Things (AIoT) applications. During our project, we propose a holistic approach that focuses on optimizing algori... | [
30539
] | Test |
34,506 | 6 | Title: Conceptual Framework and Documentation Standards of Cystoscopic Media Content for Artificial Intelligence
Abstract: Background: The clinical documentation of cystoscopy includes visual and textual materials. However, the secondary use of visual cystoscopic data for educational and research purposes remains limit... | [] | Train |
34,507 | 16 | Title: Paparazzi: A Deep Dive into the Capabilities of Language and Vision Models for Grounding Viewpoint Descriptions
Abstract: Existing language and vision models achieve impressive performance in image-text understanding. Yet, it is an open question to what extent they can be used for language understanding in 3D en... | [] | Test |
34,508 | 24 | Title: MAHTM: A Multi-Agent Framework for Hierarchical Transactive Microgrids
Abstract: Integrating variable renewable energy into the grid has posed challenges to system operators in achieving optimal trade-offs among energy availability, cost affordability, and pollution controllability. This paper proposes a multi-a... | [] | Train |
34,509 | 6 | Title: hDesigner: Real-Time Haptic Feedback Pattern Designer
Abstract: Haptic sensing can provide a new dimension to enhance people's musical and cinematic experiences. However, designing a haptic pattern is neither intuitive nor trivial. Imagined haptic patterns tend to be different from experienced ones. As a result,... | [] | Train |
34,510 | 15 | Title: Monad: Towards Cost-effective Specialization for Chiplet-based Spatial Accelerators
Abstract: Advanced packaging offers a new design paradigm in the post-Moore era, where many small chiplets can be assembled into a large system. Based on heterogeneous integration, a chiplet-based accelerator can be highly specia... | [] | Train |
34,511 | 16 | Title: Unified View of Damage leaves Planimetry & Analysis Using Digital Images Processing Techniques
Abstract: The detection of leaf diseases in plants generally involves visual observation of patterns appearing on the leaf surface. However, there are many diseases that are distinguished based on very subtle changes i... | [] | Train |
34,512 | 24 | Title: Supervised Attention Using Homophily in Graph Neural Networks
Abstract: Graph neural networks have become the standard approach for dealing with learning problems on graphs. Among the different variants of graph neural networks, graph attention networks (GATs) have been applied with great success to different ta... | [] | Validation |
34,513 | 7 | Title: Multi-level Bézier extraction of truncated hierarchical B-splines for isogeometric analysis
Abstract: Multivariate B-splines and Non-uniform rational B-splines (NURBS) lack adaptivity due to their tensor product structure. Truncated hierarchical B-splines (THB-splines) provide a solution for this. THB-splines or... | [] | Validation |
34,514 | 16 | Title: DeepMediX: A Deep Learning-Driven Resource-Efficient Medical Diagnosis Across the Spectrum
Abstract: In the rapidly evolving landscape of medical imaging diagnostics, achieving high accuracy while preserving computational efficiency remains a formidable challenge. This work presents \texttt{DeepMediX}, a groundb... | [
2505
] | Train |
34,515 | 22 | Title: Absynthe: Abstract Interpretation-Guided Synthesis
Abstract: Synthesis tools have seen significant success in recent times. However, past approaches often require a complete and accurate embedding of the source language in the logic of the underlying solver, an approach difficult for industrial-grade languages. ... | [] | Train |
34,516 | 17 | Title: 3D Quasiconformal Representation and Solver
Abstract: The analysis of mapping relationships and distortions in multidimensional data poses a significant challenge in contemporary research. While Beltrami coefficients offer a precise description of distortions in two-dimensional mappings, current tools lack this ... | [] | Train |
34,517 | 8 | Title: An Overview of the 3GPP Study on Artificial Intelligence for 5G New Radio
Abstract: Air interface is a fundamental component within any wireless communication system. In Release 18, the 3rd Generation Partnership Project (3GPP) delves into the possibilities of leveraging artificial intelligence (AI)/machine lear... | [
6286,
262
] | Train |
34,518 | 24 | Title: Robust Online Classification: From Estimation to Denoising
Abstract: We study online classification in the presence of noisy labels. The noise mechanism is modeled by a general kernel that specifies, for any feature-label pair, a (known) set of distributions over noisy labels. At each time step, an adversary sel... | [] | Validation |
34,519 | 24 | Title: Optimized Gradient Tracking for Decentralized Online Learning
Abstract: This work considers the problem of decentralized online learning, where the goal is to track the optimum of the sum of time-varying functions, distributed across several nodes in a network. The local availability of the functions and their g... | [] | Train |
34,520 | 30 | Title: Tokenization with Factorized Subword Encoding
Abstract: In recent years, language models have become increasingly larger and more complex. However, the input representations for these models continue to rely on simple and greedy subword tokenization methods. In this paper, we propose a novel tokenization method ... | [
13823
] | Train |
34,521 | 27 | Title: Dynamic Flex-and-Flip Manipulation of Deformable Linear Objects
Abstract: This paper presents the technique of flex-and-flip manipulation. It is suitable for grasping thin, flexible linear objects lying on a flat surface. During the manipulation process, the object is first flexed by a robotic gripper whose fing... | [
25974
] | Train |
34,522 | 16 | Title: Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis
Abstract: Diffusion-based models have achieved state-of-the-art performance on text-to-image synthesis tasks. However, one critical limitation of these models is the low fidelity of generated images with respe... | [
2211,
41146,
7850,
45933,
7505,
38579,
30360,
34074,
16381,
40671
] | Train |
34,523 | 24 | Title: Clustering of Time-Varying Graphs Based on Temporal Label Smoothness
Abstract: We propose a node clustering method for time-varying graphs based on the assumption that the cluster labels are changed smoothly over time. Clustering is one of the fundamental tasks in many science and engineering fields including si... | [] | Validation |
34,524 | 24 | Title: A reinforcement learning strategy for p-adaptation in high order solvers
Abstract: Reinforcement learning (RL) has emerged as a promising approach to automating decision processes. This paper explores the application of RL techniques to optimise the polynomial order in the computational mesh when using high-orde... | [
38451,
21139
] | Train |
34,525 | 16 | Title: TemporalMaxer: Maximize Temporal Context with only Max Pooling for Temporal Action Localization
Abstract: Temporal Action Localization (TAL) is a challenging task in video understanding that aims to identify and localize actions within a video sequence. Recent studies have emphasized the importance of applying l... | [
14760
] | Train |
34,526 | 27 | Title: Upside down: affordable high-performance motion platform
Abstract: Parallel robots are capable of high-speed manipulation and have become essential tools in the industry. The proximal placement of their motors and the low weight of their end effectors make them ideal for generating highly dynamic motion. Therefo... | [] | Test |
34,527 | 24 | Title: MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning
Abstract: In this work, we investigate the problem of out-of-distribution (OOD) generalization for unsupervised learning methods on graph data. This scenario is particularly challenging because graph neural networks (GNNs... | [
24665,
20349,
17309
] | Train |
34,528 | 13 | Title: Neuroevolution of recurrent architectures on control tasks
Abstract: Modern artificial intelligence works typically train the parameters of fixed-sized deep neural networks using gradient-based optimization techniques. Simple evolutionary algorithms have recently been shown to also be capable of optimizing deep ... | [
23315
] | Train |
34,529 | 37 | Title: A Benchmarking Study of Matching Algorithms for Knowledge Graph Entity Alignment
Abstract: How to identify those equivalent entities between knowledge graphs (KGs), which is called Entity Alignment (EA), is a long-standing challenge. So far, many methods have been proposed, with recent focus on leveraging Deep L... | [] | Train |
34,530 | 30 | Title: MarsEclipse at SemEval-2023 Task 3: Multi-lingual and Multi-label Framing Detection with Contrastive Learning
Abstract: This paper describes our system for SemEval-2023 Task 3 Subtask 2 on Framing Detection. We used a multi-label contrastive loss for fine-tuning large pre-trained language models in a multi-lingu... | [
29602
] | Validation |
34,531 | 24 | Title: Deep Generative Neural Embeddings for High Dimensional Data Visualization
Abstract: We propose a visualization technique that utilizes neural network embeddings and a generative network to reconstruct original data. This method allows for independent manipulation of individual image embeddings through its non-pa... | [] | Train |
34,532 | 16 | Title: Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation
Abstract: Recently, video object segmentation (VOS) referred by multi-modal signals, e.g., language and audio, has evoked increasing attention in both industry and academia. It is challenging for exploring the semantic align... | [
22561,
17803,
30385,
23570,
27282
] | Train |
34,533 | 24 | Title: Brainformers: Trading Simplicity for Efficiency
Abstract: Transformers are central to recent successes in natural language processing and computer vision. Transformers have a mostly uniform backbone where layers alternate between feed-forward and self-attention in order to build a deep network. Here we investiga... | [] | Train |
34,534 | 16 | Title: Iterative Multi-granular Image Editing using Diffusion Models
Abstract: Recent advances in text-guided image synthesis has dramatically changed how creative professionals generate artistic and aesthetically pleasing visual assets. To fully support such creative endeavors, the process should possess the ability t... | [
23669
] | Train |
34,535 | 24 | Title: EPG-MGCN: Ego-Planning Guided Multi-Graph Convolutional Network for Heterogeneous Agent Trajectory Prediction
Abstract: To drive safely in complex traffic environments, autonomous vehicles need to make an accurate prediction of the future trajectories of nearby heterogeneous traffic agents (i.e., vehicles, pedes... | [] | Train |
34,536 | 1 | Title: Emotion recognition based on multi-modal electrophysiology multi-head attention Contrastive Learning
Abstract: Emotion recognition is an important research direction in artificial intelligence, helping machines understand and adapt to human emotional states. Multimodal electrophysiological(ME) signals, such as E... | [] | Train |
34,537 | 16 | Title: SepVAE: a contrastive VAE to separate pathological patterns from healthy ones
Abstract: Contrastive Analysis VAE (CA-VAEs) is a family of Variational auto-encoders (VAEs) that aims at separating the common factors of variation between a background dataset (BG) (i.e., healthy subjects) and a target dataset (TG) (... | [] | Test |
34,538 | 27 | Title: Multi-step planning with learned effects of (possibly partial) action executions
Abstract: In this paper, we propose an affordance model, which is built on Conditional Neural Processes, that can predict effect trajectories given objects, action or effect information at any time. Affordances are represented in a ... | [] | Test |
34,539 | 5 | Title: On the Runtime of Chemical Reaction Networks Beyond Idealized Conditions
Abstract: This paper studies the (discrete) \emph{chemical reaction network (CRN)} computational model that emerged in the last two decades as an abstraction for molecular programming. The correctness of CRN protocols is typically establish... | [] | Train |
34,540 | 16 | Title: Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation
Abstract: Cross-View Geo-Localisation is still a challenging task where additional modules, specific pre-processing or zooming strategies are necessary to determine accurate positions of images. Since different views have different geometries, pr... | [
8746,
18743,
17311
] | Validation |
34,541 | 16 | Title: DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning
Abstract: Multi-task networks rely on effective parameter sharing to achieve robust generalization across tasks. In this paper, we present a novel parameter sharing method for multitask learning that conditions parameter sharing o... | [] | Validation |
34,542 | 28 | Title: Robust Active and Passive Beamforming for RIS-Assisted Full-Duplex Systems under Imperfect CSI
Abstract: The sixth-generation (6G) wireless technology recognizes the potential of reconfigurable intelligent surfaces (RIS) as an effective technique for intelligently manipulating channel paths through reflection to... | [] | Validation |
34,543 | 5 | Title: Improved and Partially-Tight Lower Bounds for Message-Passing Implementations of Multiplicity Queues
Abstract: A multiplicity queue is a concurrently-defined data type which relaxes the conditions of a linearizable FIFO queue to allow concurrent Dequeue instances to return the same value. It would seem that this... | [] | Train |
34,544 | 4 | Title: Unified Singular Protocol Flow for OAuth (USPFO) Ecosystem
Abstract: OAuth 2.0 is a popular authorization framework that allows third-party clients such as websites and mobile apps to request limited access to a user's account on another application. The specification classifies clients into different types base... | [] | Train |
34,545 | 30 | Title: ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing
Abstract: Given the rapid ascent of large language models (LLMs), we study the question: (How) can large language models help in reviewing of scientific papers or proposals? We first conduct some pilot studies where we find that... | [
9248,
12896,
21794,
13700,
33220,
13510,
2506,
6700,
16556,
18764,
37742,
40304,
29396,
24760,
21401,
20794,
19451,
32989
] | Train |
34,546 | 8 | Title: Keep Your Friends Close, but Your Routeservers Closer: Insights into RPKI Validation in the Internet
Abstract: IP prefix hijacks allow adversaries to redirect and intercept traffic, posing a threat to the stability and security of the Internet. To prevent prefix hijacks, networks should deploy RPKI and filter bo... | [] | Test |
34,547 | 37 | Title: Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge
Abstract: The transport sector is a major contributor to greenhouse gas emissions in Europe. Shifting to electric vehicles (EVs) powered by a low-carbon energy mix would reduce carbon emissions. However, to support the devel... | [] | Train |
34,548 | 37 | Title: Relational Playground: Teaching the Duality of Relational Algebra and SQL
Abstract: Students in introductory data management courses are often taught how to write queries in SQL. This is a useful and practical skill, but it gives limited insight into how queries are processed by relational database engines. In c... | [] | Train |
34,549 | 24 | Title: Basal-Bolus Advisor for Type 1 Diabetes (T1D) Patients Using Multi-Agent Reinforcement Learning (RL) Methodology
Abstract: This paper presents a novel multi-agent reinforcement learning (RL) approach for personalized glucose control in individuals with type 1 diabetes (T1D). The method employs a closed-loop syst... | [] | Validation |
34,550 | 25 | Title: Improving Speech Enhancement via Event-based Query
Abstract: Existing deep learning based speech enhancement (SE) methods either use blind end-to-end training or explicitly incorporate speaker embedding or phonetic information into the SE network to enhance speech quality. In this paper, we perceive speech and n... | [
40722
] | Validation |
34,551 | 16 | Title: Robust Table Structure Recognition with Dynamic Queries Enhanced Detection Transformer
Abstract: We present a new table structure recognition (TSR) approach, called TSRFormer, to robustly recognizing the structures of complex tables with geometrical distortions from various table images. Unlike previous methods,... | [] | Train |
34,552 | 27 | Title: Breaking Symmetries Leads to Diverse Quadrupedal Gaits
Abstract: Symmetry manifests itself in legged locomotion in a variety of ways. No matter where a legged system begins to move periodically, the torso and limbs coordinate with each other's movements in a similar manner. Also, in many gaits observed in nature... | [] | Validation |
34,553 | 36 | Title: Computing Algorithm for an Equilibrium of the Generalized Stackelberg Game
Abstract: The $1-N$ generalized Stackelberg game (single-leader multi-follower game) is intricately intertwined with the interaction between a leader and followers (hierarchical interaction) and the interaction among followers (simultaneo... | [] | Train |
34,554 | 30 | Title: Use of social media and Natural Language Processing (NLP) in natural hazard research
Abstract: Twitter is a microblogging service for sending short, public text messages (tweets) that has recently received more attention in scientific comunity. In the works of Sasaki et al. (2010) and Earle et al., (2011) the au... | [] | Train |
34,555 | 10 | Title: Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining
Abstract: Medical artificial general intelligence (MAGI) enables one foundation model to solve different medical tasks, which is very practical in the medical domain. It can significantly reduce the requirement of large... | [] | Train |
34,556 | 26 | Title: Structify-Net: Random Graph generation with controlled size and customized structure
Abstract: Network structure is often considered one of the most important features of a network, and various models exist to generate graphs having one of the most studied types of structures, such as blocks/communities or spati... | [] | Validation |
34,557 | 5 | Title: Constant RMR Recoverable Mutex under System-wide Crashes
Abstract: We design two Recoverable Mutual Exclusion (RME) locks for the system-wide crash model. Our first algorithm requires only $O(1)$ space per process, and achieves $O(1)$ worst-case RMR complexity in the CC model. Our second algorithm enhances the f... | [
32068
] | Train |
34,558 | 4 | Title: A Scalable Formal Verification Methodology for Data-Oblivious Hardware
Abstract: The importance of preventing microarchitectural timing side channels in security-critical applications has surged in recent years. Constant-time programming has emerged as a best-practice technique for preventing the leakage of secr... | [
36632
] | Validation |
34,559 | 24 | Title: Efficient Training of Multi-task Neural Solver with Multi-armed Bandits
Abstract: Efficiently training a multi-task neural solver for various combinatorial optimization problems (COPs) has been less studied so far. In this paper, we propose a general and efficient training paradigm based on multi-armed bandits t... | [
20591
] | Train |
34,560 | 27 | Title: Model-free Grasping with Multi-Suction Cup Grippers for Robotic Bin Picking
Abstract: This paper presents a novel method for model-free prediction of grasp poses for suction grippers with multiple suction cups. Our approach is agnostic to the design of the gripper and does not require gripper-specific training d... | [] | Train |
34,561 | 16 | Title: Study on the identification limits of craniofacial superimposition
Abstract: Craniofacial Superimposition involves the superimposition of an image of a skull with a number of ante-mortem face images of an individual and the analysis of their morphological correspondence. Despite being used for one century, it is... | [] | Validation |
34,562 | 10 | Title: ForestMonkey: Toolkit for Reasoning with AI-based Defect Detection and Classification Models
Abstract: Artificial intelligence (AI) reasoning and explainable AI (XAI) tasks have gained popularity recently, enabling users to explain the predictions or decision processes of AI models. This paper introduces Forest ... | [
41486
] | Train |
34,563 | 31 | Title: Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
Abstract: The research field of Information Retrieval (IR) has evolved significantly, expanding beyond traditional search to meet diverse user information needs. Recently, Large Language Models (LLMs) have demonstrate... | [
11273,
397,
27281,
8978,
25748,
15004,
39,
9518,
16179,
15301,
13510,
1611,
23502,
32213,
16471,
13278,
27233,
9318,
4071,
5744,
18806,
634,
32635,
31359
] | Train |
34,564 | 30 | Title: Weighted Sampling for Masked Language Modeling
Abstract: Masked Language Modeling (MLM) is widely used to pretrain language models. The standard random masking strategy in MLM causes the pre-trained language models (PLMs) to be biased toward high-frequency tokens. Representation learning of rare tokens is poor a... | [] | Train |
34,565 | 8 | Title: Green Traffic Engineering by Line Card Minimization
Abstract: Green Traffic Engineering encompasses network design and traffic routing strategies that aim at reducing the power consumption of a backbone network. We argue that turning off linecards is the most effective approach to reach this goal. Thus, we inves... | [] | Train |
34,566 | 16 | Title: RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World
Abstract: Physical adversarial attacks against deep neural networks (DNNs) have recently gained increasing attention. The current mainstream physical attacks use printed adversarial patches or camouflage to alter the appearance of the targ... | [] | Train |
34,567 | 16 | Title: Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers
Abstract: We present Region-aware Open-vocabulary Vision Transformers (RO-ViT) - a contrastive image-text pretraining recipe to bridge the gap between image-level pretraining and open-vocabulary object detection. At the pretra... | [
37795,
23493,
2967
] | Train |
34,568 | 26 | Title: Optimal Scale-Free Small-World Graphs with Minimum Scaling of Cover Time
Abstract: The cover time of random walks on a graph has found wide practical applications in different fields of computer science, such as crawling and searching on the World Wide Web and query processing in sensor networks, with the applic... | [
29823
] | Test |
34,569 | 28 | Title: STARS-ISAC: How Many Sensors Do We Need?
Abstract: A simultaneously transmitting and reflecting surface (STARS) enabled integrated sensing and communications (ISAC) framework is proposed, where a novel bi-directional sensing-STARS architecture is devised to facilitate the full-space communication and sensing. Ba... | [] | Train |
34,570 | 10 | Title: A Survey on Causal Discovery Methods for Temporal and Non-Temporal Data
Abstract: Causal Discovery (CD) is the process of identifying the cause-effect relationships among the variables of a system from data. Over the years, several methods have been developed primarily based on the statistical properties of data... | [
29809,
42483,
9229,
19790
] | Test |
34,571 | 10 | Title: Deep Learning and Ethics
Abstract: This article appears as chapter 21 of Prince (2023, Understanding Deep Learning); a complete draft of the textbook is available here: http://udlbook.com. This chapter considers potential harms arising from the design and use of AI systems. These include algorithmic bias, lack o... | [
45104,
2855
] | Test |
34,572 | 16 | Title: KENGIC: KEyword-driven and N-Gram Graph based Image Captioning
Abstract: This paper presents a Keyword-driven and N-gram Graph based approach for Image Captioning (KENGIC). Most current state-of-the-art image caption generators are trained end-to-end on large scale paired image-caption datasets which are very la... | [] | Validation |
34,573 | 24 | Title: Empowering AI drug discovery with explicit and implicit knowledge
Abstract: Motivation: Recently, research on independently utilizing either explicit knowledge from knowledge graphs or implicit knowledge from biomedical literature for AI drug discovery has been growing rapidly. These approaches have greatly impr... | [] | Validation |
34,574 | 10 | Title: Intermittently Observable Markov Decision Processes
Abstract: This paper investigates MDPs with intermittent state information. We consider a scenario where the controller perceives the state information of the process via an unreliable communication channel. The transmissions of state information over the whole... | [] | Train |
34,575 | 27 | Title: Learning Vision-based Pursuit-Evasion Robot Policies
Abstract: Learning strategic robot behavior -- like that required in pursuit-evasion interactions -- under real-world constraints is extremely challenging. It requires exploiting the dynamics of the interaction, and planning through both physical state and lat... | [] | Test |
34,576 | 16 | Title: Fairly Private: Investigating The Fairness of Visual Privacy Preservation Algorithms
Abstract: As the privacy risks posed by camera surveillance and fa- cial recognition have grown, so has the research into privacy preservation algorithms. Among these, visual privacy preser- vation algorithms attempt to impart b... | [] | Train |
34,577 | 4 | Title: Generated Graph Detection
Abstract: Graph generative models become increasingly effective for data distribution approximation and data augmentation. While they have aroused public concerns about their malicious misuses or misinformation broadcasts, just as what Deepfake visual and auditory media has been deliver... | [] | Train |
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