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
1905.02244	Searching for MobileNetV3	We present the next generation of MobileNets based on a combination of complementary search techniques as well as a novel architecture design. MobileNetV3 is tuned to mobile phone CPUs through a combination of hardware-aware network architecture search (NAS) complemented by the NetAdapt algorithm and then subsequently ...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	129,926
1512.01409	What Makes it Difficult to Understand a Scientific Literature?	In the artificial intelligence area, one of the ultimate goals is to make computers understand human language and offer assistance. In order to achieve this ideal, researchers of computer science have put forward a lot of models and algorithms attempting at enabling the machine to analyze and process human natural lang...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	49,810
1702.04458	Decentralized Baseband Processing for Massive MU-MIMO Systems	Achieving high spectral efficiency in realistic massive multi-user (MU) multiple-input multiple-output (MIMO) wireless systems requires computationally-complex algorithms for data detection in the uplink (users transmit to base-station) and beamforming in the downlink (base-station transmits to users). Most existing al...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	68,259
1812.05794	The Entropy of Artificial Intelligence and a Case Study of AlphaZero from Shannon's Perspective	The recently released AlphaZero algorithm achieves superhuman performance in the games of chess, shogi and Go, which raises two open questions. Firstly, as there is a finite number of possibilities in the game, is there a quantifiable intelligence measurement for evaluating intelligent systems, e.g. AlphaZero? Secondly...	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	116,481
2112.09076	SanMove: Next Location Recommendation via Self-Attention Network	Currently, next location recommendation plays a vital role in location-based social network applications and services. Although many methods have been proposed to solve this problem, three important challenges have not been well addressed so far: (1) most existing methods are based on recurrent network, which is time-c...	false	false	false	true	true	false	true	false	false	false	false	false	false	false	false	false	false	false	272,028
1901.10836	Do non-free LCD codes over finite commutative Frobenius rings exist?	In this paper, we clarify some aspects on LCD codes in the literature. We first prove that a non-free LCD code does not exist over finite commutative Frobenius local rings. We then obtain a necessary and sufficient condition for the existence of LCD code over finite commutative Frobenius rings. We later show that a fre...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	120,118
2407.16521	AMONGAGENTS: Evaluating Large Language Models in the Interactive Text-Based Social Deduction Game	Strategic social deduction games serve as valuable testbeds for evaluating the understanding and inference skills of language models, offering crucial insights into social science, artificial intelligence, and strategic gaming. This paper focuses on creating proxies of human behavior in simulated environments, with Amo...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	475,629
2203.07162	RAUM-VO: Rotational Adjusted Unsupervised Monocular Visual Odometry	Unsupervised learning for monocular camera motion and 3D scene understanding has gained popularity over traditional methods, relying on epipolar geometry or non-linear optimization. Notably, deep learning can overcome many issues of monocular vision, such as perceptual aliasing, low-textured areas, scale-drift, and deg...	false	false	false	false	false	false	false	true	false	false	false	true	false	false	false	false	false	false	285,356
2305.02099	Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization	Emerged as a biology-inspired method, Spiking Neural Networks (SNNs) mimic the spiking nature of brain neurons and have received lots of research attention. SNNs deal with binary spikes as their activation and therefore derive extreme energy efficiency on hardware. However, it also leads to an intrinsic obstacle that t...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	361,911
2110.11876	Tight and Robust Private Mean Estimation with Few Users	In this work, we study high-dimensional mean estimation under user-level differential privacy, and design an $(\varepsilon,\delta)$-differentially private mechanism using as few users as possible. In particular, we provide a nearly optimal trade-off between the number of users and the number of samples per user require...	false	false	false	false	false	false	true	false	false	false	false	false	true	false	false	false	false	true	262,640
2305.19497	Towards Flow Graph Prediction of Open-Domain Procedural Texts	Machine comprehension of procedural texts is essential for reasoning about the steps and automating the procedures. However, this requires identifying entities within a text and resolving the relationships between the entities. Previous work focused on the cooking domain and proposed a framework to convert a recipe tex...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	369,552
2403.09217	Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning	Social media platforms have become one of the main channels where people disseminate and acquire information, of which the reliability is severely threatened by rumors widespread in the network. Existing approaches such as suspending users or broadcasting real information to combat rumors are either with high cost or d...	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	false	437,680
2111.06719	On Transferability of Prompt Tuning for Natural Language Processing	Prompt tuning (PT) is a promising parameter-efficient method to utilize extremely large pre-trained language models (PLMs), which can achieve comparable performance to full-parameter fine-tuning by only tuning a few soft prompts. However, PT requires much more training time than fine-tuning. Intuitively, knowledge tran...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	266,152
2410.22049	On the Synthesis of Reactive Collision-Free Whole-Body Robot Motions: A Complementarity-based Approach	This paper is about generating motion plans for high degree-of-freedom systems that account for collisions along the entire body. A particular class of mathematical programs with complementarity constraints become useful in this regard. Optimization-based planners can tackle confined-space trajectory planning while bei...	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	503,477
1806.05950	Hyper Space Exploration - A Multicriterial Quantitative Trade-Off Analysis for System Design in Complex Environment	Successful engineering requires environmentally adapted procedural and architectural approaches. While dealing with complicated issues has become an engineering standard mastering uncertainties in complex environment is still a major issue. Global trends, such as an increasing rate of disruptive technology changes or m...	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	100,591
1705.09411	Identifying Critical Risks of Cascading Failures in Power Systems	Potential critical risks of cascading failures in power systems can be identified by exposing those critical electrical elements on which certain initial disturbances may cause maximum disruption to power transmission networks. In this work, we investigate cascading failures in power systems described by the direct cur...	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	74,191
2106.04223	Outage Performance of Multi-UAV Relaying-based Imperfect Hardware Hybrid Satellite-Terrestrial Networks	In this paper, we consider an imperfect hardware hybrid satellite-terrestrial network (HSTN) where the satellite communication with a ground user equipment (UE) is aided by the multiple amplify-and-forward (AF) three-dimensional ($3$D) mobile unmanned aerial vehicle (UAV) relays. Herein, we consider that all transceive...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	239,644
2110.05525	Synergistic Offline-Online Control Synthesis via Local Gaussian Process Regression	Autonomous systems often have complex and possibly unknown dynamics due to, e.g., black-box components. This leads to unpredictable behaviors and makes control design with performance guarantees a major challenge. This paper presents a data-driven control synthesis framework for such systems subject to linear temporal ...	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	260,300
2401.15486	Pulse-Width Modulation Technique With Harmonic Injection in the Modulating Wave and Discontinuous Frequency Modulation for the Carrier Wave for Multilevel Inverters: An Application to the Reduction of Acoustic Noise in Induction Motors	An implementation of a harmonic injection pulse width modulation frequency-modulated triangular carrier (HIPWM-FMTC) control strategy applied to a multilevel power inverter feeding an asynchronous motor is presented. The aim was to justify the reduction in acoustic noise emitted by the machine compared with other strat...	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	424,466
2112.05224	Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures	We investigate a new threat to neural sequence-to-sequence (seq2seq) models: training-time attacks that cause models to "spin" their outputs so as to support an adversary-chosen sentiment or point of view -- but only when the input contains adversary-chosen trigger words. For example, a spinned summarization model outp...	false	false	false	false	false	false	true	false	true	false	false	false	true	false	false	false	false	false	270,774
2002.07595	Market Power in Convex Hull Pricing	The start up costs in many kinds of generators lead to complex cost structures, which in turn yield severe market loopholes in the locational marginal price (LMP) scheme. Convex hull pricing (a.k.a. extended LMP) is proposed to improve the market efficiency by providing the minimal uplift payment to the generators. In ...	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	164,512
2107.08228	Weakly-supervised Part-Attention and Mentored Networks for Vehicle Re-Identification	Vehicle re-identification (Re-ID) aims to retrieve images with the same vehicle ID across different cameras. Current part-level feature learning methods typically detect vehicle parts via uniform division, outside tools, or attention modeling. However, such part features often require expensive additional annotations a...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	246,661
2007.10467	Second-Order Pooling for Graph Neural Networks	Graph neural networks have achieved great success in learning node representations for graph tasks such as node classification and link prediction. Graph representation learning requires graph pooling to obtain graph representations from node representations. It is challenging to develop graph pooling methods due to th...	false	false	false	false	false	false	true	false	false	false	false	true	false	false	false	false	false	false	188,279
2007.03154	Discretization-Aware Architecture Search	The search cost of neural architecture search (NAS) has been largely reduced by weight-sharing methods. These methods optimize a super-network with all possible edges and operations, and determine the optimal sub-network by discretization, \textit{i.e.}, pruning off weak candidates. The discretization process, performe...	false	false	false	false	false	false	true	false	false	false	false	true	false	false	false	true	false	false	185,964
1807.08555	Iterative Interaction Training for Segmentation Editing Networks	Automatic segmentation has great potential to facilitate morphological measurements while simultaneously increasing efficiency. Nevertheless often users want to edit the segmentation to their own needs and will need different tools for this. There has been methods developed to edit segmentations of automatic methods ba...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	103,565
2205.12676	Evaluating the Diversity, Equity and Inclusion of NLP Technology: A Case Study for Indian Languages	In order for NLP technology to be widely applicable, fair, and useful, it needs to serve a diverse set of speakers across the world's languages, be equitable, i.e., not unduly biased towards any particular language, and be inclusive of all users, particularly in low-resource settings where compute constraints are commo...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	298,663
2111.02258	Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points	Unmanned Aerial Vehicles (UAVs) promise to become an intrinsic part of next generation communications, as they can be deployed to provide wireless connectivity to ground users to supplement existing terrestrial networks. The majority of the existing research into the use of UAV access points for cellular coverage consi...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	264,814
2306.14392	ContentCTR: Frame-level Live Streaming Click-Through Rate Prediction with Multimodal Transformer	In recent years, live streaming platforms have gained immense popularity as they allow users to broadcast their videos and interact in real-time with hosts and peers. Due to the dynamic changes of live content, accurate recommendation models are crucial for enhancing user experience. However, most previous works treat ...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	375,665
2210.03799	Supervised and Unsupervised Learning of Audio Representations for Music Understanding	In this work, we provide a broad comparative analysis of strategies for pre-training audio understanding models for several tasks in the music domain, including labelling of genre, era, origin, mood, instrumentation, key, pitch, vocal characteristics, tempo and sonority. Specifically, we explore how the domain of pre-t...	false	false	true	false	true	true	true	false	false	false	false	false	false	false	false	false	false	true	322,176
cs/0506033	An Event-driven Operator Model for Dynamic Simulation of Construction Machinery	Prediction and optimisation of a wheel loader's dynamic behaviour is a challenge due to tightly coupled, non-linear subsystems of different technical domains. Furthermore, a simulation regarding performance, efficiency, and operability cannot be limited to the machine itself, but has to include operator, environment, a...	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	538,766
1812.03621	Learning Non-Uniform Hypergraph for Multi-Object Tracking	The majority of Multi-Object Tracking (MOT) algorithms based on the tracking-by-detection scheme do not use higher order dependencies among objects or tracklets, which makes them less effective in handling complex scenarios. In this work, we present a new near-online MOT algorithm based on non-uniform hypergraph, which...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	116,062
2207.09672	Duplicate Detection as a Service	Completeness of a knowledge graph is an important quality dimension and factor on how well an application that makes use of it performs. Completeness can be improved by performing knowledge enrichment. Duplicate detection aims to find identity links between the instances of knowledge graphs and is a fundamental subtask...	false	false	false	false	true	true	false	false	false	false	false	false	false	false	false	false	true	false	308,979
1803.04757	Monitoring Targeted Hate in Online Environments	Hateful comments, swearwords and sometimes even death threats are becoming a reality for many people today in online environments. This is especially true for journalists, politicians, artists, and other public figures. This paper describes how hate directed towards individuals can be measured in online environments us...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	92,508
2002.07471	Knowledge Integration Networks for Action Recognition	In this work, we propose Knowledge Integration Networks (referred as KINet) for video action recognition. KINet is capable of aggregating meaningful context features which are of great importance to identifying an action, such as human information and scene context. We design a three-branch architecture consisting of a...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	164,486
2305.02326	Cybernetic Environment: A Historical Reflection on System, Design, and Machine Intelligence	Taking on a historical lens, this paper traces the development of cybernetics and systems thinking back to the 1950s, when a group of interdisciplinary scholars converged to create a new theoretical model based on machines and systems for understanding matters of meaning, information, consciousness, and life. By presen...	false	false	false	false	true	false	false	true	false	true	true	false	false	false	false	false	false	false	361,998
1711.02757	Real-Time Road Segmentation Using LiDAR Data Processing on an FPGA	This paper presents the FPGA design of a convolutional neural network (CNN) based road segmentation algorithm for real-time processing of LiDAR data. For autonomous vehicles, it is important to perform road segmentation and obstacle detection such that the drivable region can be identified for path planning. Traditiona...	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	84,106
2205.11152	Cross-lingual Lifelong Learning	The longstanding goal of multi-lingual learning has been to develop a universal cross-lingual model that can withstand the changes in multi-lingual data distributions. There has been a large amount of work to adapt such multi-lingual models to unseen target languages. However, the majority of work in this direction foc...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	298,021
1911.00308	On Second-Moment Stability of Discrete-Time Linear Systems with General Stochastic Dynamics	This paper provides a new unified framework for second-moment stability of discrete-time linear systems with stochastic dynamics. Relations of notions of second-moment stability are studied for the systems with general stochastic dynamics, and associated Lyapunov inequalities are derived. Any type of stochastic process...	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	151,786
1511.02152	Iterative Eigenvalue Decomposition and Multipath-Grouping Tx/Rx Joint Beamforming for Millimeter-Wave Communication	We investigate Tx/Rx joint beamforming in millimeter-wave communications (MMWC). As the multipath components (MPCs) have different steering angles and independent fadings, beamforming aims at achieving array gain as well as diversity gain in this scenario. A sub-optimal beamforming scheme is proposed to find the antenn...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	48,591
2502.08556	Human-Centric Foundation Models: Perception, Generation and Agentic Modeling	Human understanding and generation are critical for modeling digital humans and humanoid embodiments. Recently, Human-centric Foundation Models (HcFMs) inspired by the success of generalist models, such as large language and vision models, have emerged to unify diverse human-centric tasks into a single framework, surpa...	false	false	false	false	true	false	true	false	false	false	false	true	false	false	false	false	false	true	533,057
2103.04706	A Taxonomy of Similarity Metrics for Markov Decision Processes	Although the notion of task similarity is potentially interesting in a wide range of areas such as curriculum learning or automated planning, it has mostly been tied to transfer learning. Transfer is based on the idea of reusing the knowledge acquired in the learning of a set of source tasks to a new learning process i...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	223,734
2203.10451	On the Computation of Necessary and Sufficient Explanations	The complete reason behind a decision is a Boolean formula that characterizes why the decision was made. This recently introduced notion has a number of applications, which include generating explanations, detecting decision bias and evaluating counterfactual queries. Prime implicants of the complete reason are known a...	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	true	286,543
2211.06106	Identifying, measuring, and mitigating individual unfairness for supervised learning models and application to credit risk models	In the past few years, Artificial Intelligence (AI) has garnered attention from various industries including financial services (FS). AI has made a positive impact in financial services by enhancing productivity and improving risk management. While AI can offer efficient solutions, it has the potential to bring uninten...	false	false	false	false	true	false	true	false	false	false	false	false	false	true	false	false	false	false	329,782
2309.07423	ChatGPT MT: Competitive for High- (but not Low-) Resource Languages	Large language models (LLMs) implicitly learn to perform a range of language tasks, including machine translation (MT). Previous studies explore aspects of LLMs' MT capabilities. However, there exist a wide variety of languages for which recent LLM MT performance has never before been evaluated. Without published exper...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	391,776
2410.11670	Leveraging Structure Knowledge and Deep Models for the Detection of Abnormal Handwritten Text	Currently, the destruction of the sequence structure in handwritten text has become one of the main bottlenecks restricting the recognition task. The typical situations include additional specific markers (the text swapping modification) and the text overlap caused by character modifications like deletion, replacement,...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	498,665
1204.3678	Crowd Memory: Learning in the Collective	Crowd algorithms often assume workers are inexperienced and thus fail to adapt as workers in the crowd learn a task. These assumptions fundamentally limit the types of tasks that systems based on such algorithms can handle. This paper explores how the crowd learns and remembers over time in the context of human computa...	true	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	false	15,522
1608.07730	Algorithmic complexity of quantum capacity	Recently the theory of communication developed by Shannon has been extended to the quantum realm by exploiting the rules of quantum theory. This latter stems on complex vector spaces. However complex (as well as real) numbers are just idealizations and they are not available in practice where we can only deal with rati...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	60,261
1203.0744	A Report on Multilinear PCA Plus Multilinear LDA to Deal with Tensorial Data: Visual Classification as An Example	In practical applications, we often have to deal with high order data, such as a grayscale image and a video sequence are intrinsically 2nd-order tensor and 3rd-order tensor, respectively. For doing clustering or classification of these high order data, it is a conventional way to vectorize these data before hand, as P...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	14,716
1711.09195	Feature Selection Facilitates Learning Mixtures of Discrete Product Distributions	Feature selection can facilitate the learning of mixtures of discrete random variables as they arise, e.g. in crowdsourcing tasks. Intuitively, not all workers are equally reliable but, if the less reliable ones could be eliminated, then learning should be more robust. By analogy with Gaussian mixture models, we seek a...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	85,350
2403.07193	CuentosIE: can a chatbot about "tales with a message" help to teach emotional intelligence?	In this article, we present CuentosIE (TalesEI: chatbot of tales with a message to develop Emotional Intelligence), an educational chatbot on emotions that also provides teachers and psychologists with a tool to monitor their students/patients through indicators and data compiled by CuentosIE. The use of "tales with a ...	false	false	false	false	true	false	false	false	true	false	false	false	false	false	false	false	false	false	436,770
1712.08577	Adaptive Stochastic Dual Coordinate Ascent for Conditional Random Fields	This work investigates the training of conditional random fields (CRFs) via the stochastic dual coordinate ascent (SDCA) algorithm of Shalev-Shwartz and Zhang (2016). SDCA enjoys a linear convergence rate and a strong empirical performance for binary classification problems. However, it has never been used to train CRF...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	87,212
1312.1038	Efficient Multi-Robot Motion Planning for Unlabeled Discs in Simple Polygons	We consider the following motion-planning problem: we are given $m$ unit discs in a simple polygon with $n$ vertices, each at their own start position, and we want to move the discs to a given set of $m$ target positions. Contrary to the standard (labeled) version of the problem, each disc is allowed to be moved to any...	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	true	28,834
2308.05823	Vibrational Stabilization of Complex Network Systems	Many natural and man-made network systems need to maintain certain patterns, such as working at equilibria or limit cycles, to function properly. Thus, the ability to stabilize such patterns is crucial. Most of the existing studies on stabilization assume that network systems states can be measured online so that feedb...	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	384,922
2309.09007	MonoForce: Self-supervised Learning of Physics-informed Model for Predicting Robot-terrain Interaction	While autonomous navigation of mobile robots on rigid terrain is a well-explored problem, navigating on deformable terrain such as tall grass or bushes remains a challenge. To address it, we introduce an explainable, physics-aware and end-to-end differentiable model which predicts the outcome of robot-terrain interacti...	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	392,432
2404.18863	PlanNetX: Learning an Efficient Neural Network Planner from MPC for Longitudinal Control	Model predictive control (MPC) is a powerful, optimization-based approach for controlling dynamical systems. However, the computational complexity of online optimization can be problematic on embedded devices. Especially, when we need to guarantee fixed control frequencies. Thus, previous work proposed to reduce the co...	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	450,415
1411.5461	Optimal Coding Schemes for the Three-Receiver AWGN Broadcast Channel with Receiver Message Side Information	This paper investigates the capacity region of the three-receiver AWGN broadcast channel where the receivers (i) have private-message requests and (ii) may know some of the messages requested by other receivers as side information. We first classify all 64 possible side information configurations into eight groups, eac...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	37,743
2409.12405	On the Effectiveness of LLMs for Manual Test Verifications	Background: Manual testing is vital for detecting issues missed by automated tests, but specifying accurate verifications is challenging. Aims: This study aims to explore the use of Large Language Models (LLMs) to produce verifications for manual tests. Method: We conducted two independent and complementary exploratory...	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	true	489,572
2004.13874	Histogram-based Auto Segmentation: A Novel Approach to Segmenting Integrated Circuit Structures from SEM Images	In the Reverse Engineering and Hardware Assurance domain, a majority of the data acquisition is done through electron microscopy techniques such as Scanning Electron Microscopy (SEM). However, unlike its counterparts in optical imaging, only a limited number of techniques are available to enhance and extract informatio...	false	false	false	false	false	false	false	false	false	false	false	true	true	false	false	false	false	false	174,698
1103.0086	A generic trust framework for large-scale open systems using machine learning	In many large scale distributed systems and on the web, agents need to interact with other unknown agents to carry out some tasks or transactions. The ability to reason about and assess the potential risks in carrying out such transactions is essential for providing a safe and reliable environment. A traditional approa...	false	false	false	false	false	false	true	false	false	false	false	false	true	false	false	false	false	true	9,422
2306.02864	Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs	The analysis of public affairs documents is crucial for citizens as it promotes transparency, accountability, and informed decision-making. It allows citizens to understand government policies, participate in public discourse, and hold representatives accountable. This is crucial, and sometimes a matter of life or deat...	false	false	false	false	true	false	false	false	true	false	false	false	false	false	false	false	false	false	371,087
1705.02012	Machine Comprehension by Text-to-Text Neural Question Generation	We propose a recurrent neural model that generates natural-language questions from documents, conditioned on answers. We show how to train the model using a combination of supervised and reinforcement learning. After teacher forcing for standard maximum likelihood training, we fine-tune the model using policy gradient ...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	72,908
2501.10129	Spatio-temporal Graph Learning on Adaptive Mined Key Frames for High-performance Multi-Object Tracking	In the realm of multi-object tracking, the challenge of accurately capturing the spatial and temporal relationships between objects in video sequences remains a significant hurdle. This is further complicated by frequent occurrences of mutual occlusions among objects, which can lead to tracking errors and reduced perfo...	false	false	false	false	true	false	false	false	false	false	false	true	false	false	false	false	false	false	525,403
2111.03642	Grounded Graph Decoding Improves Compositional Generalization in Question Answering	Question answering models struggle to generalize to novel compositions of training patterns, such to longer sequences or more complex test structures. Current end-to-end models learn a flat input embedding which can lose input syntax context. Prior approaches improve generalization by learning permutation invariant mod...	false	false	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	265,232
2207.08815	Why do tree-based models still outperform deep learning on tabular data?	While deep learning has enabled tremendous progress on text and image datasets, its superiority on tabular data is not clear. We contribute extensive benchmarks of standard and novel deep learning methods as well as tree-based models such as XGBoost and Random Forests, across a large number of datasets and hyperparamet...	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	false	308,697
2307.14578	Distillation-guided Representation Learning for Unconstrained Gait Recognition	Gait recognition holds the promise of robustly identifying subjects based on walking patterns instead of appearance information. While previous approaches have performed well for curated indoor data, they tend to underperform in unconstrained situations, e.g. in outdoor, long distance scenes, etc. We propose a framewor...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	381,977
2310.03932	Bridging Low-level Geometry to High-level Concepts in Visual Servoing of Robot Manipulation Task Using Event Knowledge Graphs and Vision-Language Models	In this paper, we propose a framework of building knowledgeable robot control in the scope of smart human-robot interaction, by empowering a basic uncalibrated visual servoing controller with contextual knowledge through the joint usage of event knowledge graphs (EKGs) and large-scale pretrained vision-language models ...	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	397,477
2309.00626	An Ensemble Method of Deep Reinforcement Learning for Automated Cryptocurrency Trading	We propose an ensemble method to improve the generalization performance of trading strategies trained by deep reinforcement learning algorithms in a highly stochastic environment of intraday cryptocurrency portfolio trading. We adopt a model selection method that evaluates on multiple validation periods, and propose a ...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	389,363
1304.1522	Maximum Uncertainty Procedures for Interval-Valued Probability Distributions	Measures of uncertainty and divergence are introduced for interval-valued probability distributions and are shown to have desirable mathematical properties. A maximum uncertainty inference procedure for marginal interval distributions is presented. A technique for reconstruction of interval distributions from projectio...	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	23,555
2306.10348	Typo-Robust Representation Learning for Dense Retrieval	Dense retrieval is a basic building block of information retrieval applications. One of the main challenges of dense retrieval in real-world settings is the handling of queries containing misspelled words. A popular approach for handling misspelled queries is minimizing the representations discrepancy between misspelle...	false	false	false	false	false	true	false	false	true	false	false	false	false	false	false	false	false	false	374,195
2203.08807	Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set	Access to dermatological care is a major issue, with an estimated 3 billion people lacking access to care globally. Artificial intelligence (AI) may aid in triaging skin diseases. However, most AI models have not been rigorously assessed on images of diverse skin tones or uncommon diseases. To ascertain potential biase...	false	false	false	false	true	false	true	false	false	false	false	true	false	false	false	false	false	false	285,916
2501.01097	EliGen: Entity-Level Controlled Image Generation with Regional Attention	Recent advancements in diffusion models have significantly advanced text-to-image generation, yet global text prompts alone remain insufficient for achieving fine-grained control over individual entities within an image. To address this limitation, we present EliGen, a novel framework for Entity-level controlled image ...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	521,921
1712.06751	HotFlip: White-Box Adversarial Examples for Text Classification	We propose an efficient method to generate white-box adversarial examples to trick a character-level neural classifier. We find that only a few manipulations are needed to greatly decrease the accuracy. Our method relies on an atomic flip operation, which swaps one token for another, based on the gradients of the one-h...	false	false	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	86,928
1602.01366	Semantic Acyclicity Under Constraints	A conjunctive query (CQ) is semantically acyclic if it is equivalent to an acyclic one. Semantic acyclicity has been studied in the constraint-free case, and deciding whether a query enjoys this property is NP-complete. However, in case the database is subject to constraints such as tuple-generating dependencies (tgds)...	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	true	true	51,690
2412.03801	Agent AI with LangGraph: A Modular Framework for Enhancing Machine Translation Using Large Language Models	This paper explores the transformative role of Agent AI and LangGraph in advancing the automation and effectiveness of machine translation (MT). Agents are modular components designed to perform specific tasks, such as translating between particular languages, with specializations like TranslateEnAgent, TranslateFrench...	false	false	false	false	true	false	false	false	true	false	false	false	false	false	false	false	false	false	514,111
2312.07580	COVID-19 Detection Using Slices Processing Techniques and a Modified Xception Classifier from Computed Tomography Images	This paper extends our previous method for COVID-19 diagnosis, proposing an enhanced solution for detecting COVID-19 from computed tomography (CT) images. To decrease model misclassifications, two key steps of image processing were employed. Firstly, the uppermost and lowermost slices were removed, preserving sixty per...	false	false	false	false	false	false	true	false	false	false	false	true	false	false	false	false	false	false	414,983
2311.09553	Program-Aided Reasoners (better) Know What They Know	Prior work shows that program-aided reasoning, in which large language models (LLMs) are combined with programs written in programming languages such as Python, can significantly improve accuracy on various reasoning tasks. However, while accuracy is essential, it is also important for such reasoners to "know what they...	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	408,177
2203.13248	Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer	Recent studies on StyleGAN show high performance on artistic portrait generation by transfer learning with limited data. In this paper, we explore more challenging exemplar-based high-resolution portrait style transfer by introducing a novel DualStyleGAN with flexible control of dual styles of the original face domain ...	false	false	false	false	false	false	true	false	false	false	false	true	false	false	false	false	false	false	287,555
2502.04770	Efficient Evaluation of Quantization-Effects in Neural Codecs	Neural codecs, comprising an encoder, quantizer, and decoder, enable signal transmission at exceptionally low bitrates. Training these systems requires techniques like the straight-through estimator, soft-to-hard annealing, or statistical quantizer emulation to allow a non-zero gradient across the quantizer. Evaluating...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	531,313
2409.07712	Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs	In the broader machine learning literature, data-generation methods demonstrate promising results by generating additional informative training examples via augmenting sparse labels. Such methods are less studied in graphs due to the intricate dependencies among nodes in complex topology structures. This paper presents...	false	false	false	true	false	false	true	false	false	false	false	false	false	false	false	false	false	false	487,625
2209.07587	Theoretical Insight into Batch Normalization: Data Dependant Auto-Tuning of Regularization Rate	Batch normalization is widely used in deep learning to normalize intermediate activations. Deep networks suffer from notoriously increased training complexity, mandating careful initialization of weights, requiring lower learning rates, etc. These issues have been addressed by Batch Normalization (\textbf{BN}), by norm...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	317,803
0710.3502	Using Synchronic and Diachronic Relations for Summarizing Multiple Documents Describing Evolving Events	In this paper we present a fresh look at the problem of summarizing evolving events from multiple sources. After a discussion concerning the nature of evolving events we introduce a distinction between linearly and non-linearly evolving events. We present then a general methodology for the automatic creation of summari...	false	false	false	false	false	true	false	false	true	false	false	false	false	false	false	false	false	false	799
2110.11679	Depth-only Object Tracking	Depth (D) indicates occlusion and is less sensitive to illumination changes, which make depth attractive modality for Visual Object Tracking (VOT). Depth is used in RGBD object tracking where the best trackers are deep RGB trackers with additional heuristic using depth maps. There are two potential reasons for the heur...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	262,571
2407.17195	Surrogate-guided optimization in quantum networks	We propose an optimization algorithm to improve the design and performance of quantum communication networks. When physical architectures become too complex for analytical methods, numerical simulation becomes essential to study quantum network behavior. Although highly informative, these simulations involve complex nu...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	475,881
2305.16971	Theoretical and Practical Perspectives on what Influence Functions Do	Influence functions (IF) have been seen as a technique for explaining model predictions through the lens of the training data. Their utility is assumed to be in identifying training examples "responsible" for a prediction so that, for example, correcting a prediction is possible by intervening on those examples (removi...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	368,350
2204.00448	Zero-Shot Cross-lingual Aphasia Detection using Automatic Speech Recognition	Aphasia is a common speech and language disorder, typically caused by a brain injury or a stroke, that affects millions of people worldwide. Detecting and assessing Aphasia in patients is a difficult, time-consuming process, and numerous attempts to automate it have been made, the most successful using machine learning...	false	false	false	false	true	false	true	false	true	false	false	false	false	false	false	false	false	false	289,258
cs/0204047	Sampling Strategies for Mining in Data-Scarce Domains	Data mining has traditionally focused on the task of drawing inferences from large datasets. However, many scientific and engineering domains, such as fluid dynamics and aircraft design, are characterized by scarce data, due to the expense and complexity of associated experiments and simulations. In such data-scarce do...	false	true	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	537,558
2501.10835	Anatomy of a Historic Blackout: Decoding Spatiotemporal Dynamics of Power Outages and Disparities During Hurricane Beryl	This study investigates the spatial patterns and temporal variations in outage duration, intensity, and restoration/recovery following the 2024 Hurricane Beryl in Houston, Texas. This historic blackout caused widespread power disruptions across the Houston metropolitan area, leaving more than 2 million customers withou...	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	525,679
2011.12262	Model Elicitation through Direct Questioning	The future will be replete with scenarios where humans are robots will be working together in complex environments. Teammates interact, and the robot's interaction has to be about getting useful information about the human's (teammate's) model. There are many challenges before a robot can interact, such as incorporatin...	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	208,106
2310.11960	Fast Multipole Attention: A Divide-and-Conquer Attention Mechanism for Long Sequences	Transformer-based models have achieved state-of-the-art performance in many areas. However, the quadratic complexity of self-attention with respect to the input length hinders the applicability of Transformer-based models to long sequences. To address this, we present Fast Multipole Attention, a new attention mechanism...	false	false	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	400,850
2401.11940	Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent	This paper considers the problem of recovering a tensor with an underlying low-tubal-rank structure from a small number of corrupted linear measurements. Traditional approaches tackling such a problem require the computation of tensor Singular Value Decomposition (t-SVD), that is a computationally intensive process, re...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	423,207
2303.14639	CRRS: Concentric Rectangles Regression Strategy for Multi-point Representation on Fisheye Images	Modern object detectors take advantage of rectangular bounding boxes as a conventional way to represent objects. When it comes to fisheye images, rectangular boxes involve more background noise rather than semantic information. Although multi-point representation has been proposed, both the regression accuracy and conv...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	354,182
1402.5043	A logical model of Theory of Mind for virtual agents in the context of job interview simulation	Job interview simulation with a virtual agents aims at improving people's social skills and supporting professional inclusion. In such simulators, the virtual agent must be capable of representing and reasoning about the user's mental state based on social cues that inform the system about his/her affects and social at...	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	31,017
2104.05541	Optimizing the Whole-life Cost in End-to-end CNN Acceleration	The acceleration of CNNs has gained increasing atten-tion since their success in computer vision. With the heterogeneous functional layers that cannot be pro-cessed by the accelerators proposed for convolution layers only, modern end-to-end CNN acceleration so-lutions either transform the diverse computation into matri...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	true	229,766
2412.07594	RFL: Simplifying Chemical Structure Recognition with Ring-Free Language	The primary objective of Optical Chemical Structure Recognition is to identify chemical structure images into corresponding markup sequences. However, the complex two-dimensional structures of molecules, particularly those with rings and multiple branches, present significant challenges for current end-to-end methods t...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	515,729
2410.03333	Comparative Analysis and Ensemble Enhancement of Leading CNN Architectures for Breast Cancer Classification	This study introduces a novel and accurate approach to breast cancer classification using histopathology images. It systematically compares leading Convolutional Neural Network (CNN) models across varying image datasets, identifies their optimal hyperparameters, and ranks them based on classification efficacy. To maxim...	false	false	false	false	true	false	false	false	false	false	false	true	false	false	false	false	false	false	494,735
2003.05218	Keyfilter-Aware Real-Time UAV Object Tracking	Correlation filter-based tracking has been widely applied in unmanned aerial vehicle (UAV) with high efficiency. However, it has two imperfections, i.e., boundary effect and filter corruption. Several methods enlarging the search area can mitigate boundary effect, yet introducing undesired background distraction. Exist...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	167,807
2111.06762	Diversity-Promoting Human Motion Interpolation via Conditional Variational Auto-Encoder	In this paper, we present a deep generative model based method to generate diverse human motion interpolation results. We resort to the Conditional Variational Auto-Encoder (CVAE) to learn human motion conditioned on a pair of given start and end motions, by leveraging the Recurrent Neural Network (RNN) structure for b...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	266,167
2308.08482	Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention with Shortcut Features	Machine learning models often learn to make predictions that rely on sensitive social attributes like gender and race, which poses significant fairness risks, especially in societal applications, such as hiring, banking, and criminal justice. Existing work tackles this issue by minimizing the employed information about...	false	false	false	false	true	false	true	false	false	false	false	false	false	true	false	false	false	false	385,921
2403.09813	Towards Comprehensive Multimodal Perception: Introducing the Touch-Language-Vision Dataset	Tactility provides crucial support and enhancement for the perception and interaction capabilities of both humans and robots. Nevertheless, the multimodal research related to touch primarily focuses on visual and tactile modalities, with limited exploration in the domain of language. Beyond vocabulary, sentence-level d...	false	false	false	false	false	false	false	true	false	false	false	true	false	false	false	false	false	false	437,922
1604.05372	Clustering Comparable Corpora of Russian and Ukrainian Academic Texts: Word Embeddings and Semantic Fingerprints	We present our experience in applying distributional semantics (neural word embeddings) to the problem of representing and clustering documents in a bilingual comparable corpus. Our data is a collection of Russian and Ukrainian academic texts, for which topics are their academic fields. In order to build language-indep...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	54,796

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.