Split (2)

train · 433k rows

id stringlengths 9 16	title stringlengths 4 278	abstract stringlengths 3 4.08k	cs.HC bool 2 classes	cs.CE bool 2 classes	cs.SD bool 2 classes	cs.SI bool 2 classes	cs.AI bool 2 classes	cs.IR bool 2 classes	cs.LG bool 2 classes	cs.RO bool 2 classes	cs.CL bool 2 classes	cs.IT bool 2 classes	cs.SY bool 2 classes	cs.CV bool 2 classes	cs.CR bool 2 classes	cs.CY bool 2 classes	cs.MA bool 2 classes	cs.NE bool 2 classes	cs.DB bool 2 classes	Other bool 2 classes	__index_level_0__ int64 0 541k
1810.03389	Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of Margin Dynamics	Margin enlargement over training data has been an important strategy since perceptrons in machine learning for the purpose of boosting the robustness of classifiers toward a good generalization ability. Yet Breiman (1999) showed a dilemma that a uniform improvement on margin distribution does NOT necessarily reduces ge...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	109,796
2310.00737	GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models	Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) are marvels of technology; celebrated for their prowess in natural language processing and multimodal content generation, they promise a transformative future. But as with all powerful tools, they come with their shadows. Picture living in a wo...	true	false	false	false	true	false	false	false	true	false	false	false	false	true	false	false	false	false	396,120
2207.06810	In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory	Continually learning new classes from a few training examples without forgetting previous old classes demands a flexible architecture with an inevitably growing portion of storage, in which new examples and classes can be incrementally stored and efficiently retrieved. One viable architectural solution is to tightly co...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	307,998
2006.16481	Dose Prediction with Deep Learning for Prostate Cancer Radiation Therapy: Model Adaptation to Different Treatment Planning Practices	This work aims to study the generalizability of a pre-developed deep learning (DL) dose prediction model for volumetric modulated arc therapy (VMAT) for prostate cancer and to adapt the model to three different internal treatment planning styles and one external institution planning style. We built the source model wit...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	184,821
2102.13537	Double-IRS Aided MIMO Communication under LoS Channels: Capacity Maximization and Scaling	Intelligent reflecting surface (IRS) is a promising technology to extend the wireless signal coverage and support the high performance communication. By intelligently adjusting the reflection coefficients of a large number of passive reflecting elements, the IRS can modify the wireless propagation environment in favour...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	222,088
2201.12211	Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire	Malicious agents in collaborative learning and outsourced data collection threaten the training of clean models. Backdoor attacks, where an attacker poisons a model during training to successfully achieve targeted misclassification, are a major concern to train-time robustness. In this paper, we investigate a multi-age...	false	false	false	false	false	false	true	false	false	false	false	false	true	false	true	false	false	false	277,563
2409.14634	Scideator: Human-LLM Scientific Idea Generation Grounded in Research-Paper Facet Recombination	The scientific ideation process often involves blending salient aspects of existing papers to create new ideas. To see if large language models (LLMs) can assist this process, we contribute Scideator, a novel mixed-initiative tool for scientific ideation. Starting from a user-provided set of papers, Scideator extracts ...	true	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	490,561
1707.03123	SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes	We introduce SaltiNet, a deep neural network for scanpath prediction trained on 360-degree images. The model is based on a temporal-aware novel representation of saliency information named the saliency volume. The first part of the network consists of a model trained to generate saliency volumes, whose parameters are f...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	true	76,803
2305.13829	Learning from Mistakes via Cooperative Study Assistant for Large Language Models	Large language models (LLMs) have demonstrated their potential to refine their generation based on their own feedback. However, the feedback from LLM itself is often inaccurate, thereby limiting its benefits. In this paper, we propose Study Assistant for Large LAnguage Model (SALAM), a novel framework with an auxiliary...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	366,708
2309.10418	Graph Neural Networks for Dynamic Modeling of Roller Bearing	In the presented work, we propose to apply the framework of graph neural networks (GNNs) to predict the dynamics of a rolling element bearing. This approach offers generalizability and interpretability, having the potential for scalable use in real-time operational digital twin systems for monitoring the health state o...	false	true	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	true	393,000
1811.08075	Scene Graph Generation via Conditional Random Fields	Despite the great success object detection and segmentation models have achieved in recognizing individual objects in images, performance on cognitive tasks such as image caption, semantic image retrieval, and visual QA is far from satisfactory. To achieve better performance on these cognitive tasks, merely recognizing...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	113,949
2212.09295	Unified, User and Task (UUT) Centered Artificial Intelligence for Metaverse Edge Computing	The Metaverse can be considered the extension of the present-day web, which integrates the physical and virtual worlds, delivering hyper-realistic user experiences. The inception of the Metaverse brings forth many ecosystem services such as content creation, social entertainment, in-world value transfer, intelligent tr...	false	false	false	false	true	false	true	false	false	true	false	false	false	false	false	false	false	true	337,066
1910.09338	An Alternative Surrogate Loss for PGD-based Adversarial Testing	Adversarial testing methods based on Projected Gradient Descent (PGD) are widely used for searching norm-bounded perturbations that cause the inputs of neural networks to be misclassified. This paper takes a deeper look at these methods and explains the effect of different hyperparameters (i.e., optimizer, step size an...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	150,160
1107.3258	On Learning Discrete Graphical Models Using Greedy Methods	In this paper, we address the problem of learning the structure of a pairwise graphical model from samples in a high-dimensional setting. Our first main result studies the sparsistency, or consistency in sparsity pattern recovery, properties of a forward-backward greedy algorithm as applied to general statistical model...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	11,325
2103.08112	Instantaneous SED coding over a DMC	In this paper, we propose a novel code for transmitting a sequence of $n$ message bits in real time over a discrete-memoryless channel (DMC) with noiseless feedback, where the message bits stream into the encoder one by one at random time instants. Similar to existing posterior matching schemes with block encoding, the...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	224,800
2310.05344	SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF	Model alignment with human preferences is an essential step in making Large Language Models (LLMs) helpful and consistent with human values. It typically consists of supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF) stages. However, RLHF faces inherent limitations stemming from a comple...	false	false	false	false	true	false	true	false	true	false	false	false	false	false	false	false	false	false	398,104
2011.08243	Dialog Simulation with Realistic Variations for Training Goal-Oriented Conversational Systems	Goal-oriented dialog systems enable users to complete specific goals like requesting information about a movie or booking a ticket. Typically the dialog system pipeline contains multiple ML models, including natural language understanding, state tracking and action prediction (policy learning). These models are trained...	false	false	false	false	true	false	true	false	true	false	false	false	false	false	false	false	false	false	206,811
2312.14548	NeuroRIS: Neuromorphic-Inspired Metasurfaces	Reconfigurable intelligent surfaces (RISs) operate similarly to electromagnetic (EM) mirrors and remarkably go beyond Snell law to generate an applicable EM environment allowing for flexible adaptation and fostering sustainability in terms of economic deployment and energy efficiency. However, the conventional RIS is c...	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	417,679
1204.1414	Improved Spatial Modulation for High Spectral Efficiency	Spatial Modulation (SM) is a technique that can enhance the capacity of MIMO schemes by exploiting the index of transmit antenna to convey information bits. In this paper, we describe this technique, and present a new MIMO transmission scheme that combines SM and spatial multiplexing. In the basic form of SM, only one ...	false	false	false	false	false	false	false	false	false	true	true	false	false	false	false	false	false	false	15,316
2501.00507	Real-Time Sampling-Based Safe Motion Planning for Robotic Manipulators in Dynamic Environments	In this paper, we present the main features of Dynamic Rapidly-exploring Generalized Bur Tree (DRGBT) algorithm, a sampling-based planner for dynamic environments. We provide a detailed time analysis and appropriate scheduling to facilitate a real-time operation. To this end, an extensive analysis is conducted to ident...	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	521,682
1903.02709	On Adversarial Mixup Resynthesis	In this paper, we explore new approaches to combining information encoded within the learned representations of auto-encoders. We explore models that are capable of combining the attributes of multiple inputs such that a resynthesised output is trained to fool an adversarial discriminator for real versus synthesised da...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	123,556
2407.08254	United We Stand: Decentralized Multi-Agent Planning With Attrition	Decentralized planning is a key element of cooperative multi-agent systems for information gathering tasks. However, despite the high frequency of agent failures in realistic large deployment scenarios, current approaches perform poorly in the presence of failures, by not converging at all, and/or by making very ineffi...	false	false	false	false	true	false	false	false	false	false	false	false	false	false	true	false	false	false	472,090
2012.06105	Subfield codes of linear codes from perfect nonlinear functions and their duals	Let $\mathbb{F}_{p^m}$ be a finite field with $p^m$ elements, where $p$ is an odd prime and $m$ is a positive integer. Recently, \cite{Hengar} and \cite{Wang2020} determined the weight distributions of subfield codes with the form $$\mathcal{C}_f=\left\{\left(\left( {\rm Tr}_1^m(a f(x)+bx)+c\right)_{x \in \mathbb{F}_...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	210,994
2307.09847	Cryo-forum: A framework for orientation recovery with uncertainty measure with the application in cryo-EM image analysis	In single-particle cryo-electron microscopy (cryo-EM), the efficient determination of orientation parameters for 2D projection images poses a significant challenge yet is crucial for reconstructing 3D structures. This task is complicated by the high noise levels present in the cryo-EM datasets, which often include outl...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	380,322
1503.05786	A General Framework for Multi-focal Image Classification and Authentication: Application to Microscope Pollen Images	In this article, we propose a general framework for multi-focal image classification and authentication, the methodology being demonstrated on microscope pollen images. The framework is meant to be generic and based on a brute force-like approach aimed to be efficient not only on any kind, and any number, of pollen ima...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	41,284
2405.17959	Attention-based sequential recommendation system using multimodal data	Sequential recommendation systems that model dynamic preferences based on a use's past behavior are crucial to e-commerce. Recent studies on these systems have considered various types of information such as images and texts. However, multimodal data have not yet been utilized directly to recommend products to users. I...	false	false	false	false	true	true	false	false	false	false	false	false	false	false	false	false	false	false	458,210
2205.01271	Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation	Pose estimation plays a critical role in human-centered vision applications. However, it is difficult to deploy state-of-the-art HRNet-based pose estimation models on resource-constrained edge devices due to the high computational cost (more than 150 GMACs per frame). In this paper, we study efficient architecture desi...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	294,524
2401.15770	PILOT: Legal Case Outcome Prediction with Case Law	Machine learning shows promise in predicting the outcome of legal cases, but most research has concentrated on civil law cases rather than case law systems. We identified two unique challenges in making legal case outcome predictions with case law. First, it is crucial to identify relevant precedent cases that serve as...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	424,578
1704.06880	Misspecified Linear Bandits	We consider the problem of online learning in misspecified linear stochastic multi-armed bandit problems. Regret guarantees for state-of-the-art linear bandit algorithms such as Optimism in the Face of Uncertainty Linear bandit (OFUL) hold under the assumption that the arms expected rewards are perfectly linear in thei...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	72,246
2011.08605	The Case for Retraining of ML Models for IoT Device Identification at the Edge	Internet-of-Things (IoT) devices are known to be the source of many security problems, and as such they would greatly benefit from automated management. This requires robustly identifying devices so that appropriate network security policies can be applied. We address this challenge by exploring how to accurately ident...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	true	206,930
1812.09652	A Cross-Architecture Instruction Embedding Model for Natural Language Processing-Inspired Binary Code Analysis	Given a closed-source program, such as most of proprietary software and viruses, binary code analysis is indispensable for many tasks, such as code plagiarism detection and malware analysis. Today, source code is very often compiled for various architectures, making cross-architecture binary code analysis increasingly ...	false	false	false	false	true	false	false	false	true	false	false	false	true	false	false	false	false	false	117,201
2402.00899	Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees	We present a new methodology for handling AI errors by introducing weakly supervised AI error correctors with a priori performance guarantees. These AI correctors are auxiliary maps whose role is to moderate the decisions of some previously constructed underlying classifier by either approving or rejecting its decision...	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	false	425,775
1706.09776	Numerical assessment of two-level domain decomposition preconditioners for incompressible Stokes and elasticity equations	Solving the linear elasticity and Stokes equations by an optimal domain decomposition method derived algebraically involves the use of non standard interface conditions. The one-level domain decomposition preconditioners are based on the solution of local problems. This has the undesired consequence that the results ar...	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	true	76,197
2111.06178	BOiLS: Bayesian Optimisation for Logic Synthesis	Optimising the quality-of-results (QoR) of circuits during logic synthesis is a formidable challenge necessitating the exploration of exponentially sized search spaces. While expert-designed operations aid in uncovering effective sequences, the increase in complexity of logic circuits favours automated procedures. Insp...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	266,008
2205.00880	The Application of Energy and Laplacian Energy of Hesitancy Fuzzy Graph Based on Similarity Measures in Decision Making Problems	In this article, a new hesitancy fuzzy similarity measure is defined and then used to develop the matrix of hesitancy fuzzy similarity measures, which is subsequently used to classify hesitancy fuzzy graph using the working procedure. We build a working procedure (Algorithm) for estimating the eligible reputation score...	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	294,411
2203.05630	PLATO: Predicting Latent Affordances Through Object-Centric Play	Constructing a diverse repertoire of manipulation skills in a scalable fashion remains an unsolved challenge in robotics. One way to address this challenge is with unstructured human play, where humans operate freely in an environment to reach unspecified goals. Play is a simple and cheap method for collecting diverse ...	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	284,857
2101.03091	Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings	Proximity preserving and structural role-based node embeddings have become a prime workhorse of applied graph mining. Novel node embedding techniques are often tested on a restricted set of benchmark datasets. In this paper, we propose a new diverse social network dataset called Twitch Gamers with multiple potential ta...	false	false	false	true	true	false	true	false	false	false	false	false	false	false	false	false	false	false	214,816
2408.15870	BIM-SLAM: Integrating BIM Models in Multi-session SLAM for Lifelong Mapping using 3D LiDAR	While 3D LiDAR sensor technology is becoming more advanced and cheaper every day, the growth of digitalization in the AEC industry contributes to the fact that 3D building information models (BIM models) are now available for a large part of the built environment. These two facts open the question of how 3D models can ...	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	484,107
2201.12812	Electrolyte Flow Rate Control for Vanadium Redox Flow Batteries using the Linear Parameter Varying Framework	In this article, an electrolyte flow rate control approach is developed for an all-vanadium redox flow battery (VRB) system based on the linear parameter varying (LPV) framework. The electrolyte flow rate is regulated to provide a trade-off between stack voltage efficiency and pumping energy losses, so as to achieve op...	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	277,790
2403.16369	Learning Action-based Representations Using Invariance	Robust reinforcement learning agents using high-dimensional observations must be able to identify relevant state features amidst many exogeneous distractors. A representation that captures controllability identifies these state elements by determining what affects agent control. While methods such as inverse dynamics a...	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	false	440,998
2410.15797	Design of a Flexible Robot Arm for Safe Aerial Physical Interaction	This paper introduces a novel compliant mechanism combining lightweight and energy dissipation for aerial physical interaction. Weighting 400~g at take-off, the mechanism is actuated in the forward body direction, enabling precise position control for force interaction and various other aerial manipulation tasks. The r...	false	false	false	false	false	false	false	true	false	false	true	false	false	false	false	false	false	false	500,730
1907.08845	Order Matters: Shuffling Sequence Generation for Video Prediction	Predicting future frames in natural video sequences is a new challenge that is receiving increasing attention in the computer vision community. However, existing models suffer from severe loss of temporal information when the predicted sequence is long. Compared to previous methods focusing on generating more realistic...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	139,199
1806.09612	Predictive Maintenance for Industrial IoT of Vehicle Fleets using Hierarchical Modified Fuzzy Support Vector Machine	Connected vehicle fleets are deployed worldwide in several industrial IoT scenarios. With the gradual increase of machines being controlled and managed through networked smart devices, the predictive maintenance potential grows rapidly. Predictive maintenance has the potential of optimizing uptime as well as performanc...	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	101,383
1801.05649	Eigenvector localization in real networks and its implications for epidemic spreading	The spectral properties of the adjacency matrix, in particular its largest eigenvalue and the associated principal eigenvector, dominate many structural and dynamical properties of complex networks. Here we focus on the localization properties of the principal eigenvector in real networks. We show that in most cases it...	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	false	88,499
1801.07055	Multi-Source Social Feedback of Online News Feeds	The profusion of user generated content caused by the rise of social media platforms has enabled a surge in research relating to fields such as information retrieval, recommender systems, data mining and machine learning. However, the lack of comprehensive baseline data sets to allow a thorough evaluative comparison ha...	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	false	88,719
2105.14376	Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis	The rapid advances in deep generative models over the past years have led to highly {realistic media, known as deepfakes,} that are commonly indistinguishable from real to human eyes. These advances make assessing the authenticity of visual data increasingly difficult and pose a misinformation threat to the trustworthi...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	237,648
2411.13602	Large-scale cross-modality pretrained model enhances cardiovascular state estimation and cardiomyopathy detection from electrocardiograms: An AI system development and multi-center validation study	Cardiovascular diseases (CVDs) present significant challenges for early and accurate diagnosis. While cardiac magnetic resonance imaging (CMR) is the gold standard for assessing cardiac function and diagnosing CVDs, its high cost and technical complexity limit accessibility. In contrast, electrocardiography (ECG) offer...	false	false	false	false	true	false	false	false	false	false	false	true	false	false	false	false	false	false	509,853
2212.10913	Ensemble learning techniques for intrusion detection system in the context of cybersecurity	Recently, there has been an interest in improving the resources available in Intrusion Detection System (IDS) techniques. In this sense, several studies related to cybersecurity show that the environment invasions and information kidnapping are increasingly recurrent and complex. The criticality of the business involvi...	false	false	false	false	false	false	true	false	false	false	false	false	true	false	false	false	false	false	337,651
2409.03062	MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation	Skin cancer segmentation poses a significant challenge in medical image analysis. Numerous existing solutions, predominantly CNN-based, face issues related to a lack of global contextual understanding. Alternatively, some approaches resort to large-scale Transformer models to bridge the global contextual gaps, but at t...	false	false	false	false	true	false	false	false	false	false	false	true	false	false	false	false	false	false	485,909
2310.13375	An Improved Artificial Fish Swarm Algorithm for Solving the Problem of Investigation Path Planning	Informationization is a prevailing trend in today's world. The increasing demand for information in decision-making processes poses significant challenges for investigation activities, particularly in terms of effectively allocating limited resources to plan investigation programs. This paper addresses the investigatio...	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	true	false	false	401,424
2407.03699	Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia	High myopia significantly increases the risk of irreversible vision loss. Traditional perimetry-based visual field (VF) assessment provides systematic quantification of visual loss but it is subjective and time-consuming. Consequently, machine learning models utilizing fundus photographs to estimate VF have emerged as ...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	470,258
2106.14831	Hybrid zonotopes: a new set representation for reachability analysis of mixed logical dynamical systems	This article presents a new set representation named the hybrid zonotope that is equivalent to the union of $2^N$ constrained zonotopes -- convex polytopes -- through the addition of $N$ binary zonotope factors. The major contribution of this manuscript is a closed-form solution for exact forward reachable sets of disc...	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	243,533
2106.07537	A Wasserstein Minimax Framework for Mixed Linear Regression	Multi-modal distributions are commonly used to model clustered data in statistical learning tasks. In this paper, we consider the Mixed Linear Regression (MLR) problem. We propose an optimal transport-based framework for MLR problems, Wasserstein Mixed Linear Regression (WMLR), which minimizes the Wasserstein distance ...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	240,957
2210.17444	Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations	Learning effective joint embedding for cross-modal data has always been a focus in the field of multimodal machine learning. We argue that during multimodal fusion, the generated multimodal embedding may be redundant, and the discriminative unimodal information may be ignored, which often interferes with accurate predi...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	327,694
cs/0509064	On joint coding for watermarking and encryption	In continuation to earlier works where the problem of joint information embedding and lossless compression (of the composite signal) was studied in the absence \cite{MM03} and in the presence \cite{MM04} of attacks, here we consider the additional ingredient of protecting the secrecy of the watermark against an unautho...	false	false	false	false	false	false	false	false	false	true	false	false	true	false	false	false	false	false	538,969
1903.04243	Auto-Vectorizing TensorFlow Graphs: Jacobians, Auto-Batching And Beyond	We propose a static loop vectorization optimization on top of high level dataflow IR used by frameworks like TensorFlow. A new statically vectorized parallel-for abstraction is provided on top of TensorFlow, and used for applications ranging from auto-batching and per-example gradients, to jacobian computation, optimiz...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	true	123,935
2405.18979	MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts	Leveraging the models' outputs, specifically the logits, is a common approach to estimating the test accuracy of a pre-trained neural network on out-of-distribution (OOD) samples without requiring access to the corresponding ground truth labels. Despite their ease of implementation and computational efficiency, current...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	458,696
2305.07904	Temporal Consistent Automatic Video Colorization via Semantic Correspondence	Video colorization task has recently attracted wide attention. Recent methods mainly work on the temporal consistency in adjacent frames or frames with small interval. However, it still faces severe challenge of the inconsistency between frames with large interval.To address this issue, we propose a novel video coloriz...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	364,080
2310.19293	FetusMapV2: Enhanced Fetal Pose Estimation in 3D Ultrasound	Fetal pose estimation in 3D ultrasound (US) involves identifying a set of associated fetal anatomical landmarks. Its primary objective is to provide comprehensive information about the fetus through landmark connections, thus benefiting various critical applications, such as biometric measurements, plane localization, ...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	403,938
1402.1713	Determination of subject-specific muscle fatigue rates under static fatiguing operations	Cumulative local muscle fatigue may lead to potential musculoskeletal disorder (MSD) risks {\color{red}, and subject-specific muscle fatigability needs to be considered to reduce potential MSD risks.} This study was conducted to determine local muscle fatigue rate at shoulder joint level based on an exponential functio...	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	30,697
2405.18306	Learning Staged Trees from Incomplete Data	Staged trees are probabilistic graphical models capable of representing any class of non-symmetric independence via a coloring of its vertices. Several structural learning routines have been defined and implemented to learn staged trees from data, under the frequentist or Bayesian paradigm. They assume a data set has b...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	458,366
2004.00946	Human-Guided Planner for Non-Prehensile Manipulation	We present a human-guided planner for non-prehensile manipulation in clutter. Most recent approaches to manipulation in clutter employs randomized planning, however, the problem remains a challenging one where the planning times are still in the order of tens of seconds or minutes, and the success rates are low for dif...	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	170,780
1502.06800	On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions	We show that kernel-based quadrature rules for computing integrals can be seen as a special case of random feature expansions for positive definite kernels, for a particular decomposition that always exists for such kernels. We provide a theoretical analysis of the number of required samples for a given approximation e...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	40,522
2305.14824	Mitigating Temporal Misalignment by Discarding Outdated Facts	While large language models are able to retain vast amounts of world knowledge seen during pretraining, such knowledge is prone to going out of date and is nontrivial to update. Furthermore, these models are often used under temporal misalignment, tasked with answering questions about the present, despite having only b...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	367,278
2011.14778	Joint Beamforming Design and Power Splitting Optimization in IRS-Assisted SWIPT NOMA Networks	This paper proposes a novel network framework of intelligent reflecting surface (IRS)-assisted simultaneous wireless information and power transfer (SWIPT) non-orthogonal multiple access (NOMA) networks, where IRS is used to enhance the NOMA performance and the wireless power transfer (WPT) efficiency of SWIPT. We form...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	208,889
1001.1915	Geometrical interpretation and improvements of the Blahut-Arimoto's algorithm	The paper first recalls the Blahut Arimoto algorithm for computing the capacity of arbitrary discrete memoryless channels, as an example of an iterative algorithm working with probability density estimates. Then, a geometrical interpretation of this algorithm based on projections onto linear and exponential families of...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	5,334
2110.07773	Areas on the space of smooth probability density functions on $S^2$	We present symbolic and numerical methods for computing Poisson brackets on the spaces of measures with positive densities of the plane, the 2-torus, and the 2-sphere. We apply our methods to compute symplectic areas of finite regions for the case of the 2-sphere, including an explicit example for Gaussian measures wit...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	261,121
1310.4802	On Demand Memory Specialization for Distributed Graph Databases	In this paper, we propose the DN-tree that is a data structure to build lossy summaries of the frequent data access patterns of the queries in a distributed graph data management system. These compact representations allow us an efficient communication of the data structure in distributed systems. We exploit this data ...	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	true	true	27,841
2307.16463	Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance	The maximum likelihood principle advocates parameter estimation via optimization of the data likelihood function. Models estimated in this way can exhibit a variety of generalization characteristics dictated by, e.g. architecture, parameterization, and optimization bias. This work addresses model learning in a setting ...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	382,622
2111.04138	Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis	We describe a novel attribution method which is grounded in Sensitivity Analysis and uses Sobol indices. Beyond modeling the individual contributions of image regions, Sobol indices provide an efficient way to capture higher-order interactions between image regions and their contributions to a neural network's predicti...	false	false	false	false	true	false	true	false	true	false	false	true	false	false	false	false	false	false	265,399
2005.02127	Image understanding and the web	The contextual information of Web images is investigated to address the issue of characterizing their content with semantic descriptors and therefore bridge the semantic gap, i.e. the gap between their automated low-level representation in terms of colors, textures, shapes. . . and their semantic interpretation. Such c...	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	175,768
2402.06810	Evaluating Co-Creativity using Total Information Flow	Co-creativity in music refers to two or more musicians or musical agents interacting with one another by composing or improvising music. However, this is a very subjective process and each musician has their own preference as to which improvisation is better for some context. In this paper, we aim to create a measure b...	true	false	true	false	true	false	true	false	false	true	false	false	false	false	false	false	false	false	428,444
2208.04156	AI-based Optimal scheduling of Renewable AC Microgrids with bidirectional LSTM-Based Wind Power Forecasting	In terms of the operation of microgrids, optimal scheduling is a vital issue that must be taken into account. In this regard, this paper proposes an effective framework for optimal scheduling of renewable microgrids considering energy storage devices, wind turbines, micro turbines. Due to the nonlinearity and complexit...	false	false	false	false	true	false	false	false	false	false	true	false	false	false	false	false	false	false	312,013
1705.08720	A Bag-of-Paths Node Criticality Measure	This work compares several node (and network) criticality measures quantifying to which extend each node is critical with respect to the communication flow between nodes of the network, and introduces a new measure based on the Bag-of-Paths (BoP) framework. Network disconnection simulation experiments show that the new...	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	false	74,070
2109.12151	AI Explainability 360: Impact and Design	As artificial intelligence and machine learning algorithms become increasingly prevalent in society, multiple stakeholders are calling for these algorithms to provide explanations. At the same time, these stakeholders, whether they be affected citizens, government regulators, domain experts, or system developers, have ...	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	false	257,177
2110.07191	CNN-DST: ensemble deep learning based on Dempster-Shafer theory for vibration-based fault recognition	Nowadays, using vibration data in conjunction with pattern recognition methods is one of the most common fault detection strategies for structures. However, their performances depend on the features extracted from vibration data, the features selected to train the classifier, and the classifier used for pattern recogni...	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	false	260,895
1906.00156	Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems	In the area of community question answering (CQA), answer selection and answer ranking are two tasks which are applied to help users quickly access valuable answers. Existing solutions mainly exploit the syntactic or semantic correlation between a question and its related answers (Q&A), where the multi-facet domain eff...	false	false	false	false	false	true	false	false	true	false	false	false	false	false	false	false	false	false	133,286
2109.04513	Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach	We present models which complete missing text given transliterations of ancient Mesopotamian documents, originally written on cuneiform clay tablets (2500 BCE - 100 CE). Due to the tablets' deterioration, scholars often rely on contextual cues to manually fill in missing parts in the text in a subjective and time-consu...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	254,423
1507.05726	Rule Of Thumb: Deep derotation for improved fingertip detection	We investigate a novel global orientation regression approach for articulated objects using a deep convolutional neural network. This is integrated with an in-plane image derotation scheme, DeROT, to tackle the problem of per-frame fingertip detection in depth images. The method reduces the complexity of learning in th...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	45,318
2501.11919	Improving Fine-Tuning with Latent Cluster Correction	The existence of salient semantic clusters in the latent spaces of a neural network during training strongly correlates its final accuracy on classification tasks. This paper proposes a novel fine-tuning method that boosts performance by optimising the formation of these latent clusters, using the Louvain community det...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	526,097
2412.08594	ASDnB: Merging Face with Body Cues For Robust Active Speaker Detection	State-of-the-art Active Speaker Detection (ASD) approaches mainly use audio and facial features as input. However, the main hypothesis in this paper is that body dynamics is also highly correlated to "speaking" (and "listening") actions and should be particularly useful in wild conditions (e.g., surveillance settings),...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	516,161
2303.15016	Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal Classification	Social media is daily creating massive multimedia content with paired image and text, presenting the pressing need to automate the vision and language understanding for various multimodal classification tasks. Compared to the commonly researched visual-lingual data, social media posts tend to exhibit more implicit imag...	false	false	false	false	true	true	false	false	true	false	false	false	false	false	false	false	false	true	354,329
2502.00298	The Price of Linear Time: Error Analysis of Structured Kernel Interpolation	Structured Kernel Interpolation (SKI) (Wilson et al. 2015) helps scale Gaussian Processes (GPs) by approximating the kernel matrix via interpolation at inducing points, achieving linear computational complexity. However, it lacks rigorous theoretical error analysis. This paper bridges the gap: we prove error bounds for...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	529,299
1705.06573	Online learnability of Statistical Relational Learning in anomaly detection	Statistical Relational Learning (SRL) methods for anomaly detection are introduced via a security-related application. Operational requirements for online learning stability are outlined and compared to mathematical definitions as applied to the learning process of a representative SRL method - Bayesian Logic Programs ...	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	false	73,654
1803.04528	On sufficient conditions for mixed monotonicity	Mixed monotone systems form an important class of nonlinear systems that have recently received attention in the abstraction-based control design area. Slightly different definitions exist in the literature, and it remains a challenge to verify mixed monotonicity of a system in general. In this paper, we first clarify ...	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	92,469
2106.02176	Tensegrity system dynamics based on finite element method	This study presents a finite element analysis approach to non-linear and linearized tensegrity dynamics based on the Lagrangian method with nodal coordinate vectors as the generalized coordinates. In this paper, nonlinear tensegrity dynamics with and without constraints are first derived. The equilibrium equations in t...	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	238,750
2303.01673	Near Optimal Memory-Regret Tradeoff for Online Learning	In the experts problem, on each of $T$ days, an agent needs to follow the advice of one of $n$ ``experts''. After each day, the loss associated with each expert's advice is revealed. A fundamental result in learning theory says that the agent can achieve vanishing regret, i.e. their cumulative loss is within $o(T)$ of ...	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	true	349,055
1910.11097	Deep Learning for Whole Slide Image Analysis: An Overview	The widespread adoption of whole slide imaging has increased the demand for effective and efficient gigapixel image analysis. Deep learning is at the forefront of computer vision, showcasing significant improvements over previous methodologies on visual understanding. However, whole slide images have billions of pixels...	false	false	false	false	false	false	true	false	false	false	false	true	false	false	false	false	false	false	150,678
2112.11992	Automatic Estimation of Anthropometric Human Body Measurements	Research tasks related to human body analysis have been drawing a lot of attention in computer vision area over the last few decades, considering its potential benefits on our day-to-day life. Anthropometry is a field defining physical measures of a human body size, form, and functional capacities. Specifically, the ac...	false	false	false	false	false	false	true	false	false	false	false	true	false	false	false	false	false	false	272,849
1407.8194	Fence patrolling by mobile agents with distinct speeds	Suppose we want to patrol a fence (line segment) using k mobile agents with given speeds v_1, ..., v_k so that every point on the fence is visited by an agent at least once in every unit time period. Czyzowicz et al. conjectured that the maximum length of the fence that can be patrolled is (v_1 + ... + v_k)/2, which is...	false	false	false	false	false	false	false	true	false	false	false	false	false	false	true	false	false	true	35,017
2303.03929	Towards Measuring Ethicality of an Intelligent Assistive System	Artificial intelligence (AI) based assistive systems, so called intelligent assistive technology (IAT) are becoming increasingly ubiquitous by each day. IAT helps people in improving their quality of life by providing intelligent assistance based on the provided data. A few examples of such IATs include self-driving ca...	false	false	false	false	true	false	false	false	false	false	false	false	false	true	false	false	false	false	349,898
1505.06295	Emerging communities in networks - a flow of ties	Algorithms for search of communities in networks usually consist discrete variations of links. Here we discuss a flow method, driven by a set of differential equations. Two examples are demonstrated in detail. First is a partition of a signed graph into two parts, where the proposed equations are interpreted in terms o...	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	false	43,406
2408.13925	Infrared Domain Adaptation with Zero-Shot Quantization	Quantization is one of the most popular techniques for reducing computation time and shrinking model size. However, ensuring the accuracy of quantized models typically involves calibration using training data, which may be inaccessible due to privacy concerns. In such cases, zero-shot quantization, a technique that rel...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	483,348
2403.12671	Enhancing Security of AI-Based Code Synthesis with GitHub Copilot via Cheap and Efficient Prompt-Engineering	AI assistants for coding are on the rise. However one of the reasons developers and companies avoid harnessing their full potential is the questionable security of the generated code. This paper first reviews the current state-of-the-art and identifies areas for improvement on this issue. Then, we propose a systematic ...	false	false	false	false	true	false	false	false	false	false	false	false	true	false	false	false	false	false	439,288
1704.07515	Deep Over-sampling Framework for Classifying Imbalanced Data	Class imbalance is a challenging issue in practical classification problems for deep learning models as well as traditional models. Traditionally successful countermeasures such as synthetic over-sampling have had limited success with complex, structured data handled by deep learning models. In this paper, we propose D...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	72,372
2409.04992	InstInfer: In-Storage Attention Offloading for Cost-Effective Long-Context LLM Inference	The widespread of Large Language Models (LLMs) marks a significant milestone in generative AI. Nevertheless, the increasing context length and batch size in offline LLM inference escalate the memory requirement of the key-value (KV) cache, which imposes a huge burden on the GPU VRAM, especially for resource-constraint ...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	true	486,593
2011.02034	The Role of Time, Weather and Google Trends in Understanding and Predicting Web Survey Response	In the literature about web survey methodology, significant efforts have been made to understand the role of time-invariant factors (e.g. gender, education and marital status) in (non-)response mechanisms. Time-invariant factors alone, however, cannot account for most variations in (non-)responses, especially fluctuati...	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	false	204,793
2410.03595	Understanding Reasoning in Chain-of-Thought from the Hopfieldian View	Large Language Models have demonstrated remarkable abilities across various tasks, with Chain-of-Thought (CoT) prompting emerging as a key technique to enhance reasoning capabilities. However, existing research primarily focuses on improving performance, lacking a comprehensive framework to explain and understand the f...	false	false	false	false	true	false	true	false	true	false	false	false	false	false	false	false	false	false	494,868
2205.04339	Object Detection with Spiking Neural Networks on Automotive Event Data	Automotive embedded algorithms have very high constraints in terms of latency, accuracy and power consumption. In this work, we propose to train spiking neural networks (SNNs) directly on data coming from event cameras to design fast and efficient automotive embedded applications. Indeed, SNNs are more biologically rea...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	295,613
2410.19723	Sparse Decomposition of Graph Neural Networks	Graph Neural Networks (GNN) exhibit superior performance in graph representation learning, but their inference cost can be high, due to an aggregation operation that can require a memory fetch for a very large number of nodes. This inference cost is the major obstacle to deploying GNN models with \emph{online predictio...	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	false	502,434

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