Split (1)

train · 203k rows

node_id int64 0 76.9k	label int64 0 39	text stringlengths 13 124k	neighbors listlengths 0 3.32k	mask stringclasses 4 values
35,078	23	Title: Leveraging Self-Sovereign Identity in Decentralized Data Aggregation Abstract: Data aggregation has been widely implemented as an infrastructure of data-driven systems. However, a centralized data aggregation model requires a set of strong trust assumptions to ensure security and privacy. In recent years, decent...	[]	Validation
35,079	36	Title: Learning Near-Optimal Intrusion Responses Against Dynamic Attackers Abstract: We study automated intrusion response and formulate the interaction between an attacker and a defender as an optimal stopping game where attack and defense strategies evolve through reinforcement learning and self-play. The game-theore...	[]	Train
35,080	30	Title: oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes Abstract: In this paper, we introduce the range of oBERTa language models, an easy-to-use set of language models which allows Natural Language Processing (NLP) practitioners to obtain between 3.8 and 24.3 ti...	[]	Train
35,081	30	Title: Survey on Sociodemographic Bias in Natural Language Processing Abstract: Deep neural networks often learn unintended bias during training, which might have harmful effects when deployed in real-world settings. This work surveys 214 papers related to sociodemographic bias in natural language processing (NLP). In ...	[ 12067, 35625, 22833, 26322, 16122 ]	Test
35,082	24	Title: Have it your way: Individualized Privacy Assignment for DP-SGD Abstract: When training a machine learning model with differential privacy, one sets a privacy budget. This budget represents a maximal privacy violation that any user is willing to face by contributing their data to the training set. We argue that t...	[ 19933 ]	Validation
35,083	24	Title: Simulation-free Schrödinger bridges via score and flow matching Abstract: We present simulation-free score and flow matching ([SF]$^2$M), a simulation-free objective for inferring stochastic dynamics given unpaired source and target samples drawn from arbitrary distributions. Our method generalizes both the scor...	[ 25482, 36483, 14421, 351 ]	Test
35,084	15	Title: Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques Abstract: The rapid growth of demanding applications in domains applying multimedia processing and machine learning has marked a new era for edge and cloud computing. These applications involve massive data and com...	[ 19577 ]	Test
35,085	24	Title: CodeGen2: Lessons for Training LLMs on Programming and Natural Languages Abstract: Large language models (LLMs) have demonstrated remarkable abilities in representation learning for program synthesis and understanding tasks. The quality of the learned representations appears to be dictated by the neural scaling ...	[ 34208, 32450, 14920, 43530, 7531, 17517, 25522, 33490, 14869, 43415 ]	Train
35,086	4	Title: Vertical Federated Graph Neural Network for Recommender System Abstract: Conventional recommender systems are required to train the recommendation model using a centralized database. However, due to data privacy concerns, this is often impractical when multi-parties are involved in recommender system training. F...	[ 6673 ]	Train
35,087	27	Title: A Personalized Household Assistive Robot that Learns and Creates New Breakfast Options through Human-Robot Interaction Abstract: For robots to assist users with household tasks, they must first learn about the tasks from the users. Further, performing the same task every day, in the same way, can become boring f...	[]	Test
35,088	24	Title: Expressivity Enhancement with Efficient Quadratic Neurons for Convolutional Neural Networks Abstract: Convolutional neural networks (CNNs) have been successfully applied in a range of fields such as image classification and object segmentation. To improve their expressivity, various techniques, such as novel CNN...	[]	Test
35,089	27	Title: Learning Autonomous Ultrasound via Latent Task Representation and Robotic Skills Adaptation Abstract: As medical ultrasound is becoming a prevailing examination approach nowadays, robotic ultrasound systems can facilitate the scanning process and prevent professional sonographers from repetitive and tedious work...	[ 7040, 25066, 4949 ]	Train
35,090	22	Title: ComputeGPT: A computational chat model for numerical problems Abstract: Language models are not accurate in numerical problems. Their architecture does not allow for anything less than a probabilistic next word. This paper introduces ComputeGPT: an approach of creating a chat model able to answer computational p...	[ 41336 ]	Validation
35,091	30	Title: Let Me Teach You: Pedagogical Foundations of Feedback for Language Models Abstract: Natural Language Feedback (NLF) is an increasingly popular avenue to align Large Language Models (LLMs) to human preferences. Despite the richness and diversity of the information it can convey, NLF is often hand-designed and arb...	[ 8580, 33220, 19472, 26673, 4658, 22578, 10357, 23159, 24316, 17789 ]	Train
35,092	27	Title: GP-Frontier for Local Mapless Navigation Abstract: We propose a new frontier concept called the Gaussian Process Frontier (GP-Frontier) that can be used to locally navigate a robot towards a goal without building a map. The GP-Frontier is built on the uncertainty assessment of an efficient variant of sparse Gaus...	[ 6985, 32782 ]	Validation
35,093	4	Title: Using ChatGPT as a Static Application Security Testing Tool Abstract: In recent years, artificial intelligence has had a conspicuous growth in almost every aspect of life. One of the most applicable areas is security code review, in which a lot of AI-based tools and approaches have been proposed. Recently, ChatG...	[ 31153, 29956 ]	Test
35,094	14	Title: Partial Proof of a Conjecture with Implications for Spectral Majorization Abstract: In this paper we report on new results relating to a conjecture regarding properties of $n\times n$, $n\leq 6$, positive definite matrices. The conjecture has been proven for $n\leq 4$ using computer-assisted sum of squares (SoS)...	[]	Test
35,095	24	Title: Subset-Based Instance Optimality in Private Estimation Abstract: We propose a new definition of instance optimality for differentially private estimation algorithms. Our definition requires an optimal algorithm to compete, simultaneously for every dataset $D$, with the best private benchmark algorithm that (a) k...	[ 10947, 40396 ]	Train
35,096	24	Title: A Tale of Two Circuits: Grokking as Competition of Sparse and Dense Subnetworks Abstract: Grokking is a phenomenon where a model trained on an algorithmic task first overfits but, then, after a large amount of additional training, undergoes a phase transition to generalize perfectly. We empirically study the int...	[ 38834 ]	Train
35,097	24	Title: The Five-Dollar Model: Generating Game Maps and Sprites from Sentence Embeddings Abstract: The five-dollar model is a lightweight text-to-image generative architecture that generates low dimensional images from an encoded text prompt. This model can successfully generate accurate and aesthetically pleasing conte...	[ 2722 ]	Test
35,098	26	Title: The Dynamics of Political Narratives During the Russian Invasion of Ukraine Abstract: The Russian invasion of Ukraine has elicited a diverse array of responses from nations around the globe. During a global conflict, polarized narratives are spread on social media to sway public opinion. We examine the dynamics ...	[]	Train
35,099	30	Title: RGAT: A Deeper Look into Syntactic Dependency Information for Coreference Resolution Abstract: Although syntactic information is beneficial for many NLP tasks, combining it with contextual information between words to solve the coreference resolution problem needs to be further explored. In this paper, we propos...	[ 23502 ]	Train
35,100	3	Title: Using 3D printed badges to improve student performance and reduce dropout rates in STEM higher education Abstract: Students' perception of excessive difficulty in STEM degrees lowers their motivation and therefore affects their performance. According to prior research, the use of gamification techniques promote ...	[]	Train
35,101	4	Title: GenAIPABench: A Benchmark for Generative AI-based Privacy Assistants Abstract: Privacy policies inform users about the data management practices of organizations. Yet, their complexity often renders them largely incomprehensible to the average user, necessitating the development of privacy assistants. With the a...	[ 33220, 17061, 17606, 35580, 45898, 28151, 28668 ]	Test
35,102	24	Title: AUTOSPARSE: Towards Automated Sparse Training of Deep Neural Networks Abstract: Sparse training is emerging as a promising avenue for reducing the computational cost of training neural networks. Several recent studies have proposed pruning methods using learnable thresholds to efficiently explore the non-uniform...	[]	Validation
35,103	24	Title: Analysis of Task Transferability in Large Pre-trained Classifiers Abstract: Transfer learning transfers the knowledge acquired by a model from a source task to multiple downstream target tasks with minimal fine-tuning. The success of transfer learning at improving performance, especially with the use of large pr...	[]	Train
35,104	16	Title: Unveiling Cross Modality Bias in Visual Question Answering: A Causal View with Possible Worlds VQA Abstract: To increase the generalization capability of VQA systems, many recent studies have tried to de-bias spurious language or vision associations that shortcut the question or image to the answer. Despite thes...	[]	Validation
35,105	24	Title: A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence Abstract: OD matrix estimation is a critical problem in the transportation domain. The principle method uses the traffic sensor measured information such as traffic counts to estimate the traffic demand represented by the OD matrix. T...	[ 31081 ]	Train
35,106	16	Title: YOLOv8 for Defect Inspection of Hexagonal Directed Self-Assembly Patterns: A Data-Centric Approach Abstract: Shrinking pattern dimensions leads to an increased variety of defect types in semiconductor devices. This has spurred innovation in patterning approaches such as Directed self-assembly (DSA) for which no ...	[ 4643, 29883, 7351 ]	Train
35,107	30	Title: Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code Abstract: We analyzed effectiveness of three generative pre-trained transformer (GPT) models in answering multiple-choice question (MCQ) assessments, often involving short snippets of code, from introductory and intermediate prog...	[ 7936, 33057, 19970, 36899, 100, 41029, 40036, 12487, 14026, 37424 ]	Train
35,108	27	Title: Intelligent upper-limb exoskeleton using deep learning to predict human intention for sensory-feedback augmentation Abstract: The age and stroke-associated decline in musculoskeletal strength degrades the ability to perform daily human tasks using the upper extremities. Although there are a few examples of exosk...	[]	Train
35,109	24	Title: Curvature-based Transformer for Molecular Property Prediction Abstract: The prediction of molecular properties is one of the most important and challenging tasks in the field of artificial intelligence-based drug design. Among the current mainstream methods, the most commonly used feature representation for trai...	[]	Test
35,110	30	Title: Utilization of Multinomial Naive Bayes Algorithm and Term Frequency Inverse Document Frequency (TF-IDF Vectorizer) in Checking the Credibility of News Tweet in the Philippines Abstract: The digitalization of news media become a good indicator of progress and signal to more threats. Media disinformation or fake n...	[]	Test
35,111	28	Title: A Comparison between RSMA, SDMA, and OMA in Multibeam LEO Satellite Systems Abstract: Low Earth orbit (LEO) satellite systems enable close to global coverage and are therefore expected to become important pillars of future communication standards. However, a particular challenge faced by LEO satellites is the hi...	[]	Train
35,112	28	Title: Slepian Scale-Discretised Wavelets on Manifolds Abstract: Inspired by recent interest in geometric deep learning, this work generalises the recently developed Slepian scale-discretised wavelets on the sphere to Riemannian manifolds. Through the sifting convolution, one may define translations and, thus, convolut...	[]	Validation
35,113	16	Title: UKnow: A Unified Knowledge Protocol for Common-Sense Reasoning and Vision-Language Pre-training Abstract: This work presents a unified knowledge protocol, called UKnow, which facilitates knowledge-based studies from the perspective of data. Particularly focusing on visual and linguistic modalities, we categorize...	[]	Train
35,114	16	Title: Adaptive Window Pruning for Efficient Local Motion Deblurring Abstract: Local motion blur commonly occurs in real-world photography due to the mixing between moving objects and stationary backgrounds during exposure. Existing image deblurring methods predominantly focus on global deblurring, inadvertently affect...	[ 8960 ]	Train
35,115	25	Title: A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era Abstract: Heart sound auscultation has been demonstrated to be beneficial in clinical usage for early screening of cardiovascular diseases. Due to the high requirement of well-trained professionals for auscultation, automatic auscultation be...	[]	Train
35,116	28	Title: Satellite Clustering for Non-Terrestrial Networks: Concept, Architectures, and Applications Abstract: Recently, mega-constellations with a massive number of low Earth orbit (LEO) satellites are being considered as a possible solution for providing global coverage due to relatively low latency and high throughput...	[ 25491 ]	Train
35,117	30	Title: Batch Prompting: Efficient Inference with Large Language Model APIs Abstract: Performing inference on hundreds of thousands of samples with large language models (LLMs) can be computationally and financially costly. We propose batch prompting, a simple alternative prompting approach that enables the LLM to run i...	[ 31648, 31713, 24867, 21893, 37797, 28905, 16106, 38315 ]	Validation
35,118	16	Title: Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding Abstract: Most humans use visual imagination to understand and reason about language, but models such as BERT reason about language using knowledge acquired during text-only pretraining. In this work, we inves...	[ 36966 ]	Validation
35,119	38	Title: Reproducibility Signals in Science: A preliminary analysis Abstract: Reproducibility is an important feature of science; experiments are retested, and analyses are repeated. Trust in the findings increases when consistent results are achieved. Despite the importance of reproducibility, significant work is often ...	[]	Validation
35,120	23	Title: An Architectural Design Decision Model for Resilient IoT Application Abstract: The Internet of Things is a paradigm that refers to the ubiquitous presence around us of physical objects equipped with sensing, networking, and processing capabilities that allow them to cooperate with their environment to reach comm...	[]	Train
35,121	39	Title: Reconfiguration of the Union of Arborescences Abstract: An arborescence in a digraph is an acyclic arc subset in which every vertex execpt a root has exactly one incoming arc. In this paper, we reveal the reconfigurability of the union of $k$ arborescences for fixed $k$ in the following sense: for any pair of ar...	[]	Train
35,122	24	Title: MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation Abstract: Molecular de novo design is a critical yet challenging task in scientific fields, aiming to design novel molecular structures with desired property profiles. Significant progress has been made by resorting to generative models for gr...	[]	Train
35,123	27	Title: ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration Abstract: In autonomous robot exploration tasks, a mobile robot needs to actively explore and map an unknown environment as fast as possible. Since the environment is being revealed during exploration, the robot needs ...	[ 38088 ]	Validation
35,124	16	Title: Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network Abstract: 3D point cloud semantic segmentation aims to group all points into different semantic categories, which benefits important applications such as point cloud scene reconstruction and understand...	[]	Train
35,125	24	Title: MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL Abstract: Recently, diffusion model shines as a promising backbone for the sequence modeling paradigm in offline reinforcement learning(RL). However, these works mostly lack the generalization ability across tasks with reward or dynamics ch...	[]	Train
35,126	30	Title: FiTs: Fine-grained Two-stage Training for Knowledge-aware Question Answering Abstract: Knowledge-aware question answering (KAQA) requires the model to answer questions over a knowledge base, which is essential for both open-domain QA and domain-specific QA, especially when language models alone cannot provide al...	[ 880, 15504, 14435, 11781 ]	Train
35,127	24	Title: Retrospective Uncertainties for Deep Models using Vine Copulas Abstract: Despite the major progress of deep models as learning machines, uncertainty estimation remains a major challenge. Existing solutions rely on modified loss functions or architectural changes. We propose to compensate for the lack of built-in...	[ 39618 ]	Train
35,128	30	Title: Towards Zero-Shot Functional Compositionality of Language Models Abstract: Large Pre-trained Language Models (PLM) have become the most desirable starting point in the field of NLP, as they have become remarkably good at solving many individual tasks. Despite such success, in this paper, we argue that current pa...	[]	Train
35,129	31	Title: MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation Abstract: The goal of sequential recommendation (SR) is to predict a user's potential interested items based on her/his historical interaction sequences. Most existing sequential recommenders are develope...	[ 40192, 7137, 1059, 27018, 30100, 31444, 4535 ]	Validation
35,130	31	Title: ChatGPT and Persuasive Technologies for the Management and Delivery of Personalized Recommendations in Hotel Hospitality Abstract: Recommender systems have become indispensable tools in the hotel hospitality industry, enabling personalized and tailored experiences for guests. Recent advancements in large languag...	[ 12128, 40192, 5346, 37211, 24732, 1789, 33086 ]	Validation
35,131	23	Title: Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics Abstract: In many domains, there are many examples and far fewer labels for those examples; e.g. we may have access to millions of lines of source code, but access to only a handful of warnings about that cod...	[]	Train
35,132	10	Title: Human intuition as a defense against attribute inference Abstract: Attribute inference - the process of analyzing publicly available data in order to uncover hidden information - has become a major threat to privacy, given the recent technological leap in machine learning. One way to tackle this threat is to str...	[]	Validation
35,133	23	Title: Tree-Based Scenario Classification: A Formal Framework for Coverage Analysis on Test Drives of Autonomous Vehicles Abstract: Scenario-based testing is envisioned as a key approach for the safety assurance of autonomous vehicles. In scenario-based testing, relevant (driving) scenarios are the basis of tests. Many...	[]	Train
35,134	30	Title: The Evolution of Substance Use Coverage in the Philadelphia Inquirer Abstract: The media's representation of illicit substance use can lead to harmful stereotypes and stigmatization for individuals struggling with addiction, ultimately influencing public perception, policy, and public health outcomes. To explore...	[]	Test
35,135	30	Title: Russia-Ukraine war: Modeling and Clustering the Sentiments Trends of Various Countries Abstract: With Twitter’s growth and popularity, a huge number of views are shared by users on various topics, making this platform a valuable information source on various political, social, and economic issues. This paper inv...	[ 1660 ]	Validation
35,136	16	Title: Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data Abstract: Semi-supervised learning (SSL) has attracted enormous attention due to its vast potential of mitigating the dependence on large labeled datasets. The latest methods (e.g., FixMatch) use a combination of consistency regularization and ps...	[]	Train
35,137	4	Title: MALITE: Lightweight Malware Detection and Classification for Constrained Devices Abstract: Today, malware is one of the primary cyberthreats to organizations. Malware has pervaded almost every type of computing device including the ones having limited memory, battery and computation power such as mobile phones, ...	[]	Train
35,138	24	Title: Copula-Based Deep Survival Models for Dependent Censoring Abstract: A survival dataset describes a set of instances (e.g. patients) and provides, for each, either the time until an event (e.g. death), or the censoring time (e.g. when lost to follow-up - which is a lower bound on the time until the event). We con...	[]	Train
35,139	16	Title: DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning Abstract: Neural networks are prone to learn easy solutions from superficial statistics in the data, namely shortcut learning, which impairs generalization and robustness of models. We propose a data augmentation strategy, named DFM-X, that l...	[ 537, 16339 ]	Train
35,140	3	Title: Causal Analysis of First-Year Course Approval Delays in an Engineering Major Through Inference Techniques Abstract: The study addresses the problem of delays in the approval of first-year courses in the Civil Engineering Major at the National University of Tucum\'an, Argentina. Students take an average of 5 year...	[ 758 ]	Validation
35,141	26	Title: HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling Abstract: Recently, the world has witnessed the most severe pandemic (COVID-19) in this century. Studies on epidemic prediction and simulation have received increasing attention. However, the current methods suffer fro...	[]	Train
35,142	24	Title: Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning Abstract: Structured pruning and quantization are promising approaches for reducing the inference time and memory footprint of neural networks. However, most existing methods require the original training dataset to fine-tune the model. ...	[ 15089 ]	Train
35,143	30	Title: Those Aren't Your Memories, They're Somebody Else's: Seeding Misinformation in Chat Bot Memories Abstract: One of the new developments in chit-chat bots is a long-term memory mechanism that remembers information from past conversations for increasing engagement and consistency of responses. The bot is designed t...	[]	Test
35,144	16	Title: Learning how to robustly estimate camera pose in endoscopic videos Abstract: nan	[]	Validation
35,145	30	Title: Fuzzy Temporal Protoforms for the Quantitative Description of Processes in Natural Language Abstract: In this paper, we propose a series of fuzzy temporal protoforms in the framework of the automatic generation of quantitative and qualitative natural language descriptions of processes. The model includes tempora...	[]	Train
35,146	26	Title: Gender and Prestige Bias in Coronavirus News Reporting Abstract: Journalists play a vital role in surfacing issues of societal importance, but their choices of what to highlight and who to interview are influenced by societal biases. In this work, we use natural language processing tools to measure these biases ...	[]	Train
35,147	24	Title: On-line reinforcement learning for optimization of real-life energy trading strategy Abstract: An increasing share of energy is produced from renewable sources by many small producers. The efficiency of those sources is volatile and, to some extent, random, exacerbating the problem of energy market balancing. In...	[]	Train
35,148	30	Title: Variational Quantum Classifiers for Natural-Language Text Abstract: As part of the recent research effort on quantum natural language processing (QNLP), variational quantum sentence classifiers (VQSCs) have been implemented and supported in lambeq / DisCoPy, based on the DisCoCat model of sentence meaning. We di...	[ 8117 ]	Train
35,149	34	Title: Adaptive Encoding Strategies for Erasing-Based Lossless Floating-Point Compression Abstract: Lossless floating-point time series compression is crucial for a wide range of critical scenarios. Nevertheless, it is a big challenge to compress time series losslessly due to the complex underlying layouts of floating-...	[ 30839 ]	Test
35,150	4	Title: Lifting Network Protocol Implementation to Precise Format Specification with Security Applications Abstract: Inferring protocol formats is critical for many security applications. However, existing format-inference techniques often miss many formats, because almost all of them are in a fashion of dynamic analysi...	[]	Validation
35,151	15	Title: Evolutionary design of the memory subsystem Abstract: nan	[ 31698, 21855 ]	Train
35,152	4	Title: New Approach to Malware Detection Using Optimized Convolutional Neural Network Abstract: Cyber-crimes have become a multi-billion-dollar industry in the recent years. Most cybercrimes/attacks involve deploying some type of malware. Malware that viciously targets every industry, every sector, every enterprise and...	[]	Train
35,153	16	Title: Removing Image Artifacts From Scratched Lens Protectors Abstract: A protector is placed in front of the camera lens for mobile devices to avoid damage, while the protector itself can be easily scratched accidentally, especially for plastic ones. The artifacts appear in a wide variety of patterns, making it diffi...	[ 8773 ]	Train
35,154	31	Title: BERT-Embedding and Citation Network Analysis based Query Expansion Technique for Scholarly Search Abstract: . The enormous growth of research publications has made it challenging for academic search engines to bring the most relevant papers against the given search query. Numerous solutions have been proposed ov...	[]	Validation
35,155	37	Title: RTIndeX: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing Abstract: Data management on GPUs has become increasingly relevant due to a tremendous rise in processing power and available GPU memory. Just like in the CPU world, there is a need for performant GPU-resident index structures to speed...	[]	Test
35,156	16	Title: BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis Dataset Abstract: While strides have been made in deep learning based Bengali Optical Character Recognition (OCR) in the past decade, the absence of large Document Layout Analysis (DLA) datasets has hindered the application of OCR in document transcri...	[ 22689, 39875, 16525, 5391, 37429, 414 ]	Train
35,157	34	Title: Buying Information for Stochastic Optimization Abstract: Stochastic optimization is one of the central problems in Machine Learning and Theoretical Computer Science. In the standard model, the algorithm is given a fixed distribution known in advance. In practice though, one may acquire at a cost extra informatio...	[]	Train
35,158	3	Title: Bidding Strategies for Proportional Representation in Advertisement Campaigns Abstract: Many companies rely on advertising platforms such as Google, Facebook, or Instagram to recruit a large and diverse applicant pool for job openings. Prior works have shown that equitable bidding may not result in equitable out...	[ 9298 ]	Train
35,159	16	Title: DDT: A Diffusion-Driven Transformer-based Framework for Human Mesh Recovery from a Video Abstract: Human mesh recovery (HMR) provides rich human body information for various real-world applications such as gaming, human-computer interaction, and virtual reality. Compared to single image-based methods, video-base...	[ 32538 ]	Train
35,160	18	Title: IMAC-Sim:: A Circuit-level Simulator For In-Memory Analog Computing Architectures Abstract: With the increased attention to memristive-based in-memory analog computing (IMAC) architectures as an alternative for energy-hungry computer systems for machine learning applications, a tool that enables exploring their ...	[]	Test
35,161	24	Title: HappyMap: A Generalized Multi-calibration Method Abstract: Multi-calibration is a powerful and evolving concept originating in the field of algorithmic fairness. For a predictor $f$ that estimates the outcome $y$ given covariates $x$, and for a function class $\mathcal{C}$, multi-calibration requires that the pr...	[ 19937, 4618, 21819 ]	Train
35,162	16	Title: Prompting Diffusion Representations for Cross-Domain Semantic Segmentation Abstract: While originally designed for image generation, diffusion models have recently shown to provide excellent pretrained feature representations for semantic segmentation. Intrigued by this result, we set out to explore how well dif...	[ 29251, 37254, 33936, 25107, 35031, 4220 ]	Test
35,163	24	Title: On the Geometry of Reinforcement Learning in Continuous State and Action Spaces Abstract: Advances in reinforcement learning have led to its successful application in complex tasks with continuous state and action spaces. Despite these advances in practice, most theoretical work pertains to finite state and acti...	[]	Train
35,164	16	Title: Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration Abstract: Robustly and accurately localizing objects in real-world environments can be challenging due to noisy data, hardware limitations, and the inherent randomness of physical systems. To acco...	[]	Train
35,165	30	Title: Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing Abstract: Nearly all general-purpose neural semantic parsers generate logical forms in a strictly top-down autoregressive fashion. Though such systems have achieved impressive results across a variety of datasets and domains, recen...	[ 35561 ]	Train
35,166	24	Title: Reinforcement Learning for Omega-Regular Specifications on Continuous-Time MDP Abstract: Continuous-time Markov decision processes (CTMDPs) are canonical models to express sequential decision-making under dense-time and stochastic environments. When the stochastic evolution of the environment is only available v...	[]	Validation
35,167	16	Title: Accurate Real-time Polyp Detection in Videos from Concatenation of Latent Features Extracted from Consecutive Frames Abstract: An efficient deep learning model that can be implemented in real-time for polyp detection is crucial to reducing polyp miss-rate during screening procedures. Convolutional neural network...	[]	Train
35,168	3	Title: VREd: A Virtual Reality-Based Classroom for Online Education Using Unity3D WebGL Abstract: Virtual reality is the way of the future. The use of virtual reality is expanding over time across all sectors, from the entertainment industry to the military and space. VREd is a similar concept where a virtual reality-b...	[]	Train
35,169	24	Title: NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning Abstract: Fine-tuning a pre-trained language model (PLM) emerges as the predominant strategy in many natural language processing applications. However, even fine-tuning the PLMs and doing inference are expensive, especially on edge devices wit...	[ 16793, 13700 ]	Test
35,170	30	Title: Tricking LLMs into Disobedience: Understanding, Analyzing, and Preventing Jailbreaks Abstract: Recent explorations with commercial Large Language Models (LLMs) have shown that non-expert users can jailbreak LLMs by simply manipulating the prompts; resulting in degenerate output behavior, privacy and security bre...	[ 9248, 8673, 41122, 44195, 45923, 31653, 4744, 43376, 46066, 4565, 566, 8853, 21180 ]	Train
35,171	4	Title: Privacy-Preserving Methods for Outlier-Resistant Average Consensus and Shallow Ranked Vote Leader Election Abstract: Consensus and leader election are fundamental problems in distributed systems. Consensus is the problem in which all processes in a distributed computation must agree on some value. Average consen...	[]	Train
35,172	24	Title: A Unified Approach for Maximizing Continuous DR-submodular Functions Abstract: This paper presents a unified approach for maximizing continuous DR-submodular functions that encompasses a range of settings and oracle access types. Our approach includes a Frank-Wolfe type offline algorithm for both monotone and no...	[]	Validation
35,173	31	Title: Bi-Encoder Cascades for Efficient Image Search Abstract: Modern neural encoders offer unprecedented text-image retrieval (TIR) accuracy, but their high computational cost impedes an adoption to large-scale image searches. To lower this cost, model cascades use an expensive encoder to refine the ranking of a chea...	[]	Train
35,174	10	Title: IndigoVX: Where Human Intelligence Meets AI for Optimal Decision Making Abstract: This paper defines a new approach for augmenting human intelligence with AI for optimal goal solving. Our proposed AI, Indigo, is an acronym for Informed Numerical Decision-making through Iterative Goal-Oriented optimization. When ...	[]	Train
35,175	10	Title: Generating Redstone Style Cities in Minecraft Abstract: Procedurally generating cities in Minecraft provides players more diverse scenarios and could help understand and improve the design of cities in other digital worlds and the real world. This paper presents a city generator that was submitted as an entry to...	[]	Validation
35,176	16	Title: Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition Abstract: The self-supervised pretraining paradigm has achieved great success in skeleton-based action recognition. However, these methods treat the motion and static parts equally, and lack an adaptive design for differe...	[ 5317 ]	Train
35,177	24	Title: Adaptive sparseness for correntropy-based robust regression via automatic relevance determination Abstract: Sparseness and robustness are two important properties for many machine learning scenarios. In the present study, regarding the maximum correntropy criterion (MCC) based robust regression algorithm, we inv...	[]	Validation

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