node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
30,078 | 10 | Title: Identify, Estimate and Bound the Uncertainty of Reinforcement Learning for Autonomous Driving
Abstract: Deep reinforcement learning (DRL) has emerged as a promising approach for developing more intelligent autonomous vehicles (AVs). A typical DRL application on AVs is to train a neural network-based driving poli... | [
27147
] | Train |
30,079 | 31 | Title: Delving into E-Commerce Product Retrieval with Vision-Language Pre-training
Abstract: E-commerce search engines comprise a retrieval phase and a ranking phase, where the first one returns a candidate product set given user queries. Recently, vision-language pre-training, combining textual information with visual... | [] | Test |
30,080 | 34 | Title: Fast Many-to-Many Routing for Ridesharing with Multiple Pickup and Dropoff Locations
Abstract: We introduce KaRRi, an improved algorithm for scheduling a fleet of shared vehicles as it is used by services like UberXShare and Lyft Shared. We speed up the basic online algorithm that looks for all possible insertio... | [] | Train |
30,081 | 30 | Title: SpecInfer: Accelerating Generative Large Language Model Serving with Speculative Inference and Token Tree Verification
Abstract: The high computational and memory requirements of generative large language models (LLMs) make it challenging to serve them quickly and cheaply. This paper introduces SpecInfer, an LLM... | [
13345,
13700,
12851,
31256,
40953
] | Train |
30,082 | 10 | Title: Transformative AGI by 2043 is <1% likely
Abstract: This paper is a submission to the Open Philanthropy AI Worldviews Contest. In it, we estimate the likelihood of transformative artificial general intelligence (AGI) by 2043 and find it to be<1%. Specifically, we argue: The bar is high: AGI as defined by the cont... | [] | Validation |
30,083 | 24 | Title: Decision S4: Efficient Sequence-Based RL via State Spaces Layers
Abstract: Recently, sequence learning methods have been applied to the problem of off-policy Reinforcement Learning, including the seminal work on Decision Transformers, which employs transformers for this task. Since transformers are parameter-hea... | [
8019,
41534
] | Test |
30,084 | 34 | Title: Contracting edges to destroy a pattern: A complexity study
Abstract: Given a graph G and an integer k, the objective of the $\Pi$-Contraction problem is to check whether there exists at most k edges in G such that contracting them in G results in a graph satisfying the property $\Pi$. We investigate the problem ... | [] | Train |
30,085 | 30 | Title: Learning with Rejection for Abstractive Text Summarization
Abstract: State-of-the-art abstractive summarization systems frequently hallucinate content that is not supported by the source document, mainly due to noise in the training dataset.Existing methods opt to drop the noisy samples or tokens from the traini... | [
42775
] | Train |
30,086 | 30 | Title: Multilingual Detection of Check-Worthy Claims using World Languages and Adapter Fusion
Abstract: Check-worthiness detection is the task of identifying claims, worthy to be investigated by fact-checkers. Resource scarcity for non-world languages and model learning costs remain major challenges for the creation of... | [
36185
] | Train |
30,087 | 30 | Title: DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents
Abstract: Large language models (LLMs) have emerged as valuable tools for many natural language understanding tasks. In safety-critical applications such as healthcare, the utility of these models is governed by their ability t... | [
32450,
15301,
21541,
33477,
37285,
37742,
18767,
10480,
2833,
10897,
3219,
20531,
22578,
26162,
21724
] | Train |
30,088 | 5 | Title: The Computational Landscape of Autonomous Mobile Robots: The Visibility Perspective
Abstract: Consider a group of autonomous mobile computational entities called robots. The robots move in the Euclidean plane and operate according to synchronous $Look$-$Compute$-$Move$ cycles. The computational capabilities of t... | [] | Train |
30,089 | 16 | Title: DisPlacing Objects: Improving Dynamic Vehicle Detection via Visual Place Recognition under Adverse Conditions
Abstract: Can knowing where you are assist in perceiving objects in your surroundings, especially under adverse weather and lighting conditions? In this work we investigate whether a prior map can be lev... | [] | Train |
30,090 | 31 | Title: Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing
Abstract: Sequential recommendation (SR) investigates the dynamic user preferences modeling and generates the next-item prediction. The next item preference is typically generated by the affinity between the sequence an... | [
32893
] | Train |
30,091 | 24 | Title: On the Minimax Regret for Online Learning with Feedback Graphs
Abstract: In this work, we improve on the upper and lower bounds for the regret of online learning with strongly observable undirected feedback graphs. The best known upper bound for this problem is $\mathcal{O}\bigl(\sqrt{\alpha T\ln K}\bigr)$, wher... | [
28794,
43308,
5342,
29303
] | Train |
30,092 | 16 | Title: RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
Abstract: Casting semantic segmentation of outdoor LiDAR point clouds as a 2D problem, e.g., via range projection, is an effective and popular approach. These projection-based methods usually benefit from fast computations a... | [
19716,
32662,
45999
] | Test |
30,093 | 39 | Title: Linear Time Algorithms for NP-hard Problems restricted to GaTEx Graphs
Abstract: The class of Galled-Tree Explainable (GaTEx) graphs has just recently been discovered as a natural generalization of cographs. Cographs are precisely those graphs that can be uniquely represented by a rooted tree where the leaves of... | [] | Validation |
30,094 | 16 | Title: Localized Text-to-Image Generation for Free via Cross Attention Control
Abstract: Despite the tremendous success in text-to-image generative models, localized text-to-image generation (that is, generating objects or features at specific locations in an image while maintaining a consistent overall generation) sti... | [
41146,
30402,
7955,
20949
] | Train |
30,095 | 16 | Title: 3D Motion Magnification: Visualizing Subtle Motions with Time Varying Radiance Fields
Abstract: Motion magnification helps us visualize subtle, imperceptible motion. However, prior methods only work for 2D videos captured with a fixed camera. We present a 3D motion magnification method that can magnify subtle mo... | [
11206,
18632,
21771,
4503,
5820,
9565
] | Train |
30,096 | 24 | Title: Re-Benchmarking Pool-Based Active Learning for Binary Classification
Abstract: Active learning is a paradigm that significantly enhances the performance of machine learning models when acquiring labeled data is expensive. While several benchmarks exist for evaluating active learning strategies, their findings ex... | [
44889
] | Validation |
30,097 | 36 | Title: The (Computational) Social Choice Take on Indivisible Participatory Budgeting
Abstract: In this survey, we review the literature investigating participatory budgeting as a social choice problem. Participatory Budgeting (PB) is a democratic process in which citizens are asked to vote on how to allocate a given am... | [
8133,
25926,
19910,
37231,
26198,
31706,
41051,
40798
] | Train |
30,098 | 8 | Title: Neural Video Recovery for Cloud Gaming
Abstract: Cloud gaming is a multi-billion dollar industry. A client in cloud gaming sends its movement to the game server on the Internet, which renders and transmits the resulting video back. In order to provide a good gaming experience, a latency below 80 ms is required. ... | [] | Train |
30,099 | 10 | Title: AI for the Generation and Testing of Ideas Towards an AI Supported Knowledge Development Environment
Abstract: New systems employ Machine Learning to sift through large knowledge sources, creating flexible Large Language Models. These models discern context and predict sequential information in various communica... | [] | Train |
30,100 | 31 | Title: Self-Supervised Multi-Modal Sequential Recommendation
Abstract: With the increasing development of e-commerce and online services, personalized recommendation systems have become crucial for enhancing user satisfaction and driving business revenue. Traditional sequential recommendation methods that rely on expli... | [
35129,
23375
] | Validation |
30,101 | 16 | Title: Zero-Shot Anomaly Detection with Pre-trained Segmentation Models
Abstract: This technical report outlines our submission to the zero-shot track of the Visual Anomaly and Novelty Detection (VAND) 2023 Challenge. Building on the performance of the WINCLIP framework, we aim to enhance the system's localization capa... | [
10674,
37029
] | Train |
30,102 | 27 | Title: Convergent iLQR for Safe Trajectory Planning and Control of Legged Robots
Abstract: In order to perform highly dynamic and agile maneuvers, legged robots typically spend time in underactuated domains (e.g. with feet off the ground) where the system has limited command of its acceleration and a constrained amount... | [
2937,
22052,
25407
] | Validation |
30,103 | 24 | Title: Synthetic Demographic Data Generation for Card Fraud Detection Using GANs
Abstract: Using machine learning models to generate synthetic data has become common in many fields. Technology to generate synthetic transactions that can be used to detect fraud is also growing fast. Generally, this synthetic data contai... | [] | Test |
30,104 | 16 | Title: SoDaCam: Software-defined Cameras via Single-Photon Imaging
Abstract: Reinterpretable cameras are defined by their post-processing capabilities that exceed traditional imaging. We present"SoDaCam"that provides reinterpretable cameras at the granularity of photons, from photon-cubes acquired by single-photon devi... | [] | Train |
30,105 | 24 | Title: Transaction Fraud Detection via Spatial-Temporal-Aware Graph Transformer
Abstract: How to obtain informative representations of transactions and then perform the identification of fraudulent transactions is a crucial part of ensuring financial security. Recent studies apply Graph Neural Networks (GNNs) to the tr... | [] | Test |
30,106 | 16 | Title: LoViT: Long Video Transformer for Surgical Phase Recognition
Abstract: Online surgical phase recognition plays a significant role towards building contextual tools that could quantify performance and oversee the execution of surgical workflows. Current approaches are limited since they train spatial feature extr... | [
10356,
21679
] | Train |
30,107 | 3 | Title: RUI: A Web-based Road Updates Information System using Google Maps API
Abstract: Knowing the current situation on every road in an area is still difficult to anticipate. Commuters, riders, and drivers are still dependent on road situations from a local news agency to be well informed and be updated on possible r... | [] | Test |
30,108 | 16 | Title: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering
Abstract: Semantic segmentation of point clouds usually requires exhausting efforts of human annotations, hence it attracts wide attention to the challenging topic of learning from unlabeled or weaker fo... | [] | Train |
30,109 | 16 | Title: Optical Character Recognition and Transcription of Berber Signs from Images in a Low-Resource Language Amazigh
Abstract: The Berber, or Amazigh language family is a low-resource North African vernacular language spoken by the indigenous Berber ethnic group. It has its own unique alphabet called Tifinagh used acr... | [] | Test |
30,110 | 36 | Title: Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees
Abstract: In this work, we introduce a new variant of online gradient descent, which provably converges to Nash Equilibria and simultaneously attains sublinear regret for the class of congestion games in the semi-b... | [
698
] | Test |
30,111 | 4 | Title: Smaller public keys for MinRank-based schemes
Abstract: MinRank is an NP-complete problem in linear algebra whose characteristics make it attractive to build post-quantum cryptographic primitives. Several MinRank-based digital signature schemes have been proposed. In particular, two of them, MIRA and MiRitH, hav... | [
29601
] | Test |
30,112 | 24 | Title: Multimodal Fusion Interactions: A Study of Human and Automatic Quantification
Abstract: Multimodal fusion of multiple heterogeneous and interconnected signals is a fundamental challenge in almost all multimodal problems and applications. In order to perform multimodal fusion, we need to understand the types of i... | [] | Train |
30,113 | 16 | Title: MS3D++: Ensemble of Experts for Multi-Source Unsupervised Domain Adaption in 3D Object Detection
Abstract: Deploying 3D detectors in unfamiliar domains has been demonstrated to result in a significant 70-90% drop in detection rate due to variations in lidar, geography, or weather from their training dataset. Thi... | [
36523,
4047,
4310,
20183,
18266,
28859,
45087
] | Train |
30,114 | 28 | Title: MIMO Evolution toward 6G: End-User-Centric Collaborative MIMO
Abstract: In 6G, the trend of transitioning from massive antenna elements to even more massive ones is continued. However, installing additional antennas in the limited space of user equipment (UE) is challenging, resulting in limited capacity scaling... | [
44465
] | Train |
30,115 | 16 | Title: Distilling Calibrated Student from an Uncalibrated Teacher
Abstract: Knowledge distillation is a common technique for improving the performance of a shallow student network by transferring information from a teacher network, which in general, is comparatively large and deep. These teacher networks are pre-traine... | [] | Train |
30,116 | 16 | Title: Neglected Free Lunch; Learning Image Classifiers Using Annotation Byproducts
Abstract: Supervised learning of image classifiers distills human knowledge into a parametric model through pairs of images and corresponding labels (X,Y). We argue that this simple and widely used representation of human knowledge negl... | [
9035,
4404,
18095
] | Test |
30,117 | 26 | Title: Understanding (Ir)rational Herding Online
Abstract: Investigations of social influence in collective decision-making have become possible due to recent technologies and platforms that record interactions in far larger groups than could be studied before. Herding and its impact on decision-making are critical are... | [] | Test |
30,118 | 16 | Title: RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps
Abstract: Texture analysis is a classical yet challenging task in computer vision for which deep neural networks are actively being applied. Most approaches are based on building feature aggregation modules around a pre-tra... | [] | Train |
30,119 | 24 | Title: Incorporating Prior Knowledge in Deep Learning Models via Pathway Activity Autoencoders
Abstract: Motivation: Despite advances in the computational analysis of high-throughput molecular profiling assays (e.g. transcriptomics), a dichotomy exists between methods that are simple and interpretable, and ones that ar... | [] | Train |
30,120 | 4 | Title: Accountable Safety Implies Finality
Abstract: Motivated by proof-of-stake (PoS) blockchains such as Ethereum, two key desiderata have recently been studied for Byzantine-fault tolerant (BFT) state-machine replication (SMR) consensus protocols: Finality means that the protocol retains consistency, as long as less... | [
24278
] | Train |
30,121 | 24 | Title: Hierarchical Graph Generation with K2-trees
Abstract: Generating graphs from a target distribution is a significant challenge across many domains, including drug discovery and social network analysis. In this work, we introduce a novel graph generation method leveraging $K^2$-tree representation which was origin... | [
2826
] | Train |
30,122 | 34 | Title: Finding agreement cherry-reduced subnetworks in level-1 networks
Abstract: Phylogenetic networks are increasingly being considered as better suited to represent the complexity of the evolutionary relationships between species. One class of phylogenetic networks that has received a lot of attention recently is th... | [] | Train |
30,123 | 24 | Title: OKRidge: Scalable Optimal k-Sparse Ridge Regression for Learning Dynamical Systems
Abstract: We consider an important problem in scientific discovery, identifying sparse governing equations for nonlinear dynamical systems. This involves solving sparse ridge regression problems to provable optimality in order to ... | [] | Test |
30,124 | 30 | Title: Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation
Abstract: Gender bias is a significant issue in machine translation, leading to ongoing research efforts in developing bias mitigation techniques. However, most works focus on debiasing of bilingual models w... | [] | Train |
30,125 | 6 | Title: Testing for Reviewer Anchoring in Peer Review: A Randomized Controlled Trial
Abstract: Peer review frequently follows a process where reviewers first provide initial reviews, authors respond to these reviews, then reviewers update their reviews based on the authors' response. There is mixed evidence regarding wh... | [] | Train |
30,126 | 23 | Title: Automated Test Generation for Medical Rules Web Services: A Case Study at the Cancer Registry of Norway
Abstract: The Cancer Registry of Norway (CRN) collects, curates, and manages data related to cancer patients in Norway, supported by an interactive, human-in-the-loop, socio-technical decision support software... | [
41722,
22726
] | Test |
30,127 | 16 | Title: An FPGA smart camera implementation of segmentation models for drone wildfire imagery
Abstract: Wildfires represent one of the most relevant natural disasters worldwide, due to their impact on various societal and environmental levels. Thus, a significant amount of research has been carried out to investigate an... | [] | Train |
30,128 | 16 | Title: LatentForensics: Towards lighter deepfake detection in the StyleGAN latent space
Abstract: The classification of forged videos has been a challenge for the past few years. Deepfake classifiers can now reliably predict whether or not video frames have been tampered with. However, their performance is tied to both... | [] | Validation |
30,129 | 16 | Title: Towards General Game Representations: Decomposing Games Pixels into Content and Style
Abstract: On-screen game footage contains rich contextual information that players process when playing and experiencing a game. Learning pixel representations of games can benefit artificial intelligence across several downstr... | [
4643
] | Train |
30,130 | 4 | Title: Optimized Vectorization Implementation of CRYSTALS-Dilithium
Abstract: CRYSTALS-Dilithium is a lattice-based signature scheme to be standardized by NIST as the primary post-quantum signature algorithm. In this work, we make a thorough study of optimizing the implementations of Dilithium by utilizing the Advanced... | [] | Train |
30,131 | 31 | Title: Is ChatGPT a Good Recommender? A Preliminary Study
Abstract: Recommendation systems have witnessed significant advancements and have been widely used over the past decades. However, most traditional recommendation methods are task-specific and therefore lack efficient generalization ability. Recently, the emerge... | [
1665,
4610,
33800,
32652,
11280,
23440,
27281,
17299,
3352,
6428,
18085,
28583,
30764,
36142,
10676,
21302,
9783,
26678,
3643,
9917,
14282,
1611,
45898,
10069,
19159,
39639,
45406,
31215,
7665,
28149,
20726,
23286,
35580,
19967
] | Train |
30,132 | 6 | Title: Towards an intelligent assistive system based on augmented reality and serious games
Abstract: nan | [
14517
] | Validation |
30,133 | 30 | Title: Lexi: Self-Supervised Learning of the UI Language
Abstract: Humans can learn to operate the user interface (UI) of an application by reading an instruction manual or how-to guide. Along with text, these resources include visual content such as UI screenshots and images of application icons referenced in the text... | [
33228,
19485
] | Validation |
30,134 | 8 | Title: On viewing SpaceX Starlink through the Social Media Lens
Abstract: Multiple low-Earth orbit satellite constellations, aimed at beaming broadband connectivity from space, are currently under active deployment. While such space-based Internet is set to augment, globally, today's terrestrial connectivity, and has m... | [
27872,
13700
] | Test |
30,135 | 24 | Title: Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy
Abstract: Federated learning (FL) is designed to preserve data privacy during model training, where the data remains on the client side (i.e., IoT devices), and only model updates of clients are shared iteratively for collaborat... | [] | Train |
30,136 | 27 | Title: Avoidance Navigation Based on Offline Pre-Training Reinforcement Learning
Abstract: This paper presents a Pre-Training Deep Reinforcement Learning(DRL) for avoidance navigation without map for mobile robots which map raw sensor data to control variable and navigate in an unknown environment. The efficient offlin... | [
38716
] | Train |
30,137 | 6 | Title: The Walking Talking Stick: Understanding Automated Note-Taking in Walking Meetings
Abstract: While walking meetings offer a healthy alternative to sit-down meetings, they also pose practical challenges. Taking notes is difficult while walking, which limits the potential of walking meetings. To address this, we d... | [] | Train |
30,138 | 16 | Title: DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration
Abstract: Blind face restoration (BFR) is important while challenging. Prior works prefer to exploit GAN-based frameworks to tackle this task due to the balance of quality and efficiency. However, these methods suffer from poor stability and a... | [
23464
] | Train |
30,139 | 27 | Title: Energy-Efficient Lane Changes Planning and Control for Connected Autonomous Vehicles on Urban Roads
Abstract: This paper presents a novel energy-efficient motion planning algorithm for Connected Autonomous Vehicles (CAVs) on urban roads. The approach utilizes two components: a decision-making algorithm and an op... | [] | Test |
30,140 | 24 | Title: Linear Distance Metric Learning with Noisy Labels
Abstract: In linear distance metric learning, we are given data in one Euclidean metric space and the goal is to find an appropriate linear map to another Euclidean metric space which respects certain distance conditions as much as possible. In this paper, we for... | [] | Train |
30,141 | 5 | Title: Real-Time Parallel Programming: State of Play and Open Issues
Abstract: Real-time systems applications usually consist of a set of concurrent activities with timing-related properties. Developing these applications requires programming paradigms that can effectively handle the specification of concurrent activit... | [] | Test |
30,142 | 13 | Title: Auto-Spikformer: Spikformer Architecture Search
Abstract: The integration of self-attention mechanisms into Spiking Neural Networks (SNNs) has garnered considerable interest in the realm of advanced deep learning, primarily due to their biological properties. Recent advancements in SNN architecture, such as Spik... | [] | Test |
30,143 | 31 | Title: Generative Sequential Recommendation with GPTRec
Abstract: Sequential recommendation is an important recommendation task that aims to predict the next item in a sequence. Recently, adaptations of language models, particularly Transformer-based models such as SASRec and BERT4Rec, have achieved state-of-the-art re... | [
14282,
31470,
32687,
2128,
10069,
25334,
9917
] | Validation |
30,144 | 24 | Title: A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave Processing
Abstract: Physics-Informed Neural Networks (PINNs) have gained popularity in solving nonlinear partial differential equations (PDEs) via integrating physical laws i... | [
21372
] | Train |
30,145 | 27 | Title: Learning Variable Impedance Skills from Demonstrations with Passivity Guarantee
Abstract: Robots are increasingly being deployed not only in workplaces but also in households. Effectively execute of manipulation tasks by robots relies on variable impedance control with contact forces. Furthermore, robots should ... | [] | Test |
30,146 | 16 | Title: Crowd Counting with Online Knowledge Learning
Abstract: Efficient crowd counting models are urgently required for the applications in scenarios with limited computing resources, such as edge computing and mobile devices. A straightforward method to achieve this is knowledge distillation (KD), which involves usin... | [] | Test |
30,147 | 34 | Title: Optimal (degree+1)-Coloring in Congested Clique
Abstract: We consider the distributed complexity of the (degree+1)-list coloring problem, in which each node $u$ of degree $d(u)$ is assigned a palette of $d(u)+1$ colors, and the goal is to find a proper coloring using these color palettes. The (degree+1)-list col... | [
3588
] | Validation |
30,148 | 30 | Title: Pre-training Transformers for Knowledge Graph Completion
Abstract: Learning transferable representation of knowledge graphs (KGs) is challenging due to the heterogeneous, multi-relational nature of graph structures. Inspired by Transformer-based pretrained language models' success on learning transferable repres... | [] | Test |
30,149 | 30 | Title: Towards a Robust Detection of Language Model Generated Text: Is ChatGPT that Easy to Detect?
Abstract: Recent advances in natural language processing (NLP) have led to the development of large language models (LLMs) such as ChatGPT. This paper proposes a methodology for developing and evaluating ChatGPT detector... | [
497,
31857,
11219,
43930,
38235
] | Validation |
30,150 | 30 | Title: Topics as Entity Clusters: Entity-based Topics from Language Models and Graph Neural Networks
Abstract: Topic models aim to reveal the latent structure behind a corpus, typically conducted over a bag-of-words representation of documents. In the context of topic modeling, most vocabulary is either irrelevant for ... | [] | Test |
30,151 | 16 | Title: Direct Diffusion Bridge using Data Consistency for Inverse Problems
Abstract: Diffusion model-based inverse problem solvers have shown impressive performance, but are limited in speed, mostly as they require reverse diffusion sampling starting from noise. Several recent works have tried to alleviate this problem... | [
24640,
31562,
11886,
33518,
46135,
34462,
351
] | Validation |
30,152 | 16 | Title: Semi-Supervised Learning for Visual Bird's Eye View Semantic Segmentation
Abstract: Visual bird's eye view (BEV) semantic segmentation helps autonomous vehicles understand the surrounding environment only from images, including static elements (e.g., roads) and dynamic elements (e.g., vehicles, pedestrians). How... | [] | Train |
30,153 | 23 | Title: Unifying Pointer Analyses for Polyglot Inter-operations through Summary Specialization
Abstract: Modular analysis of polyglot applications is challenging because heap object flows across language boundaries must be resolved. The state-of-the-art analyses for polyglot applications have two fundamental limitations... | [] | Train |
30,154 | 2 | Title: Safety Analysis of Parameterised Networks with Non-Blocking Rendez-Vous
Abstract: We consider networks of processes that all execute the same finite-state protocol and communicate via a rendez-vous mechanism. When a process requests a rendez-vous, another process can respond to it and they both change their cont... | [] | Train |
30,155 | 35 | Title: A Survey on User-Space Storage and Its Implementations
Abstract: The storage stack in the traditional operating system is primarily optimized towards improving the CPU utilization and hiding the long I/O latency imposed by the slow I/O devices such as hard disk drivers (HDDs). However, the emerging storage media... | [] | Train |
30,156 | 2 | Title: Decidability of Difference Logic over the Reals with Uninterpreted Unary Predicates
Abstract: First-order logic fragments mixing quantifiers, arithmetic, and uninterpreted predicates are often undecidable, as is, for instance, Presburger arithmetic extended with a single uninterpreted unary predicate. In the SMT... | [] | Test |
30,157 | 13 | Title: Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing
Abstract: Spiking Neural Networks (SNNs) have recently attracted widespread research interest as an efficient alternative to traditional Artificial Neural Networks (ANNs) because of their capability to process sparse and binar... | [
8926
] | Train |
30,158 | 16 | Title: Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis
Abstract: This paper presents ER-NeRF, a novel conditional Neural Radiance Fields (NeRF) based architecture for talking portrait synthesis that can concurrently achieve fast convergence, real-time rendering, and state-of-t... | [
3969,
21443,
21771,
9565,
35071
] | Test |
30,159 | 16 | Title: Text with Knowledge Graph Augmented Transformer for Video Captioning
Abstract: Video captioning aims to describe the content of videos using natural language. Although significant progress has been made, there is still much room to improve the performance for real-world applications, mainly due to the long-tail ... | [
29527
] | Test |
30,160 | 28 | Title: One-Bit Quadratic Compressed Sensing: From Sample Abundance to Linear Feasibility
Abstract: One-bit quantization with time-varying sampling thresholds has recently found significant utilization potential in statistical signal processing applications due to its relatively low power consumption and low implementat... | [] | Train |
30,161 | 28 | Title: Enhancement of Direct LEO Satellite-to-Smartphone Communications by Distributed Beamforming
Abstract: The low earth orbit (LEO) satellite network is undergoing rapid development with the maturing of satellite communications and rocket launch technologies, and the demand for a global coverage network. However, cu... | [
32338
] | Validation |
30,162 | 24 | Title: AnyPredict: Foundation Model for Tabular Prediction
Abstract: Foundation models are pre-trained on massive data to perform well across many downstream tasks. They have demonstrated significant success in natural language processing and computer vision. Nonetheless, the use of such models in tabular prediction ta... | [
10567,
36978,
23511,
23545,
9917
] | Test |
30,163 | 10 | Title: A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management
Abstract: Multi-agent reinforcement learning (MARL) models multiple agents that interact and learn within a shared environment. This paradigm is applicable to various industrial scenarios such as autonomous driving, quantitative tr... | [] | Train |
30,164 | 16 | Title: Video Action Recognition with Attentive Semantic Units
Abstract: Visual-Language Models (VLMs) have significantly advanced action video recognition. Supervised by the semantics of action labels, recent works adapt the visual branch of VLMs to learn video representations. Despite the effectiveness proved by these... | [] | Train |
30,165 | 24 | Title: LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning
Abstract: Targeted model poisoning attacks pose a significant threat to federated learning systems. Recent studies show that edge-case targeted attacks, which target a small fraction of the input space are nearly impos... | [] | Validation |
30,166 | 31 | Title: CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization
Abstract: Citation graphs can be helpful in generating high-quality summaries of scientific papers, where references of a scientific paper and their correlations can provide additional knowledge for contextualising its back... | [
5929,
3034,
36497,
44279
] | Train |
30,167 | 20 | Title: Efficient Strongly Polynomial Algorithms for Quantile Regression
Abstract: Linear Regression is a seminal technique in statistics and machine learning, where the objective is to build linear predictive models between a response (i.e., dependent) variable and one or more predictor (i.e., independent) variables. I... | [] | Validation |
30,168 | 16 | Title: Adaptive Local Adversarial Attacks on 3D Point Clouds for Augmented Reality
Abstract: As the key technology of augmented reality (AR), 3D recognition and tracking are always vulnerable to adversarial examples, which will cause serious security risks to AR systems. Adversarial examples are beneficial to improve t... | [] | Train |
30,169 | 24 | Title: Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
Abstract: We present a data-driven, space-time continuous framework to learn surrogate models for complex physical systems described by advection-dominated partial differential equations. Those systems have slow-de... | [
19784
] | Train |
30,170 | 16 | Title: Pyramid Diffusion Models For Low-light Image Enhancement
Abstract: Recovering noise-covered details from low-light images is challenging, and the results given by previous methods leave room for improvement. Recent diffusion models show realistic and detailed image generation through a sequence of denoising refi... | [
500
] | Validation |
30,171 | 27 | Title: Context-aware robot control using gesture episodes
Abstract: Collaborative robots became a popular tool for increasing productivity in partly automated manufacturing plants. Intuitive robot teaching methods are required to quickly and flexibly adapt the robot programs to new tasks. Gestures have an essential rol... | [
19869
] | Test |
30,172 | 16 | Title: Weakly supervised information extraction from inscrutable handwritten document images
Abstract: State-of-the-art information extraction methods are limited by OCR errors. They work well for printed text in form-like documents, but unstructured, handwritten documents still remain a challenge. Adapting existing mo... | [] | Validation |
30,173 | 4 | Title: High-frequency Matters: An Overwriting Attack and defense for Image-processing Neural Network Watermarking
Abstract: In recent years, there has been significant advancement in the field of model watermarking techniques. However, the protection of image-processing neural networks remains a challenge, with only a ... | [] | Train |
30,174 | 30 | Title: Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clustering
Abstract: Self-supervised speech representation models have succeeded in various tasks, but improving them for content-related problems using unlabeled data is challenging. We propose speaker-invariant clustering (Sp... | [
476
] | Train |
30,175 | 24 | Title: Secure Split Learning against Property Inference, Data Reconstruction, and Feature Space Hijacking Attacks
Abstract: Split learning of deep neural networks (SplitNN) has provided a promising solution to learning jointly for the mutual interest of a guest and a host, which may come from different backgrounds, hol... | [
15650
] | Train |
30,176 | 16 | Title: Point Cloud Video Anomaly Detection Based on Point Spatio-Temporal Auto-Encoder
Abstract: Video anomaly detection has great potential in enhancing safety in the production and monitoring of crucial areas. Currently, most video anomaly detection methods are based on RGB modality, but its redundant semantic inform... | [
3217,
16786
] | Train |
30,177 | 6 | Title: pymovements: A Python Package for Eye Movement Data Processing
Abstract: We introduce pymovements: a Python package for analyzing eye-tracking data that follows best practices in software development, including rigorous testing and adherence to coding standards. The package provides functionality for key process... | [
45141
] | Train |
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