Split (1)

train · 203k rows

node_id int64 0 76.9k	label int64 0 39	text stringlengths 13 124k	neighbors listlengths 0 3.32k	mask stringclasses 4 values
16,778	16	Title: FGAHOI: Fine-Grained Anchors for Human-Object Interaction Detection Abstract: —Human-Object Interaction (HOI), as an important problem in computer vision, requires locating the human-object pair and identifying the interactive relationships between them. The HOI instance has a greater span in spatial, scale, and...	[ 32355, 26378, 1227, 29427, 23579, 13660 ]	Train
16,779	30	Title: QAID: Question Answering Inspired Few-shot Intent Detection Abstract: Intent detection with semantically similar fine-grained intents is a challenging task. To address it, we reformulate intent detection as a question-answering retrieval task by treating utterances and intent names as questions and answers. To t...	[]	Train
16,780	24	Title: Detecting Dataset Drift and Non-IID Sampling via k-Nearest Neighbors Abstract: We present a straightforward statistical test to detect certain violations of the assumption that the data are Independent and Identically Distributed (IID). The specific form of violation considered is common across real-world applic...	[]	Validation
16,781	24	Title: GradientCoin: A Peer-to-Peer Decentralized Large Language Models Abstract: Since 2008, after the proposal of a Bitcoin electronic cash system, Bitcoin has fundamentally changed the economic system over the last decade. Since 2022, large language models (LLMs) such as GPT have outperformed humans in many real-lif...	[ 13700, 33933, 39573, 24984, 32416, 11809, 9381, 13100, 12602, 14655, 13510, 15561, 7643, 20449, 40301, 2291, 8436, 11128, 43641 ]	Train
16,782	24	Title: AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation Abstract: Many recent machine learning tasks focus to develop models that can generalize to unseen distributions. Domain generalization (DG) has become one of the key topics in various fields. Several literatures show that DG can be arbitrarily...	[ 43608, 20371 ]	Validation
16,783	16	Title: FISEdit: Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference Abstract: Due to the recent success of diffusion models, text-to-image generation is becoming increasingly popular and achieves a wide range of applications. Among them, text-to-image editing, or continuous text-to-image gen...	[ 30737, 15918, 16103 ]	Train
16,784	16	Title: PointPatchMix: Point Cloud Mixing with Patch Scoring Abstract: Data augmentation is an effective regularization strategy for mitigating overfitting in deep neural networks, and it plays a crucial role in 3D vision tasks, where the point cloud data is relatively limited. While mixing-based augmentation has shown ...	[ 43365, 5878, 46086 ]	Train
16,785	24	Title: Adversarial Attacks Neutralization via Data Set Randomization Abstract: Adversarial attacks on deep-learning models pose a serious threat to their reliability and security. Existing defense mechanisms are narrow addressing a specific type of attack or being vulnerable to sophisticated attacks. We propose a new d...	[]	Test
16,786	16	Title: Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions Abstract: —The existing methods for video anomaly detec- tion mostly utilize videos containing identiﬁable facial and appearance-based features. The use of videos with identiﬁable faces raises privacy concerns, especia...	[ 30176 ]	Train
16,787	6	Title: Mini‐VLAT: A Short and Effective Measure of Visualization Literacy Abstract: The visualization community regards visualization literacy as a necessary skill. Yet, despite the recent increase in research into visualization literacy by the education and visualization communities, we lack practical and time‐effecti...	[ 18505, 5083, 14167 ]	Test
16,788	24	Title: Examining the Effect of Pre-training on Time Series Classification Abstract: Although the pre-training followed by fine-tuning paradigm is used extensively in many fields, there is still some controversy surrounding the impact of pre-training on the fine-tuning process. Currently, experimental findings based on ...	[]	Train
16,789	15	Title: Custom Memory Design for Logic-in-Memory: Drawbacks and Improvements over Conventional Memories Abstract: The speed of modern digital systems is severely limited by memory latency (the “Memory Wall” problem). Data exchange between Logic and Memory is also responsible for a large part of the system energy consump...	[]	Train
16,790	16	Title: Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels Abstract: IoU losses are surrogates that directly optimize the Jaccard index. In semantic segmentation, leveraging IoU losses as part of the loss function is shown to perform better with respect to the Jaccard index measure than optimizing pixe...	[ 45680, 40310 ]	Train
16,791	4	Title: SAT-based Formal Fault-Resistance Verification of Cryptographic Circuits Abstract: Fault injection attacks represent a type of active, physical attack against cryptographic circuits. Various countermeasures have been proposed to thwart such attacks, the design and implementation of which are, however, intricate,...	[]	Train
16,792	16	Title: SHARM: Segmented Head Anatomical Reference Models Abstract: Reliable segmentation of anatomical tissues of human head is a major step in several clinical applications such as brain mapping, surgery planning and associated computational simulation studies. Segmentation is based on identifying different anatomical...	[]	Train
16,793	24	Title: Enhance Diffusion to Improve Robust Generalization Abstract: Deep neural networks are susceptible to human imperceptible adversarial perturbations. One of the strongest defense mechanisms is Adversarial Training (AT). In this paper, we aim to address two predominant problems in AT. First, there is still little c...	[ 35169, 26377 ]	Train
16,794	16	Title: Partitioned Saliency Ranking with Dense Pyramid Transformers Abstract: In recent years, saliency ranking has emerged as a challenging task focusing on assessing the degree of saliency at instance-level. Being subjective, even humans struggle to identify the precise order of all salient instances. Previous approa...	[]	Train
16,795	24	Title: Explainable Label-flipping Attacks on Human Emotion Assessment System Abstract: This paper's main goal is to provide an attacker's point of view on data poisoning assaults that use label-flipping during the training phase of systems that use electroencephalogram (EEG) signals to evaluate human emotion. To attack...	[ 2301 ]	Train
16,796	6	Title: AutoVis: Enabling Mixed-Immersive Analysis of Automotive User Interface Interaction Studies Abstract: Automotive user interface (AUI) evaluation becomes increasingly complex due to novel interaction modalities, driving automation, heterogeneous data, and dynamic environmental contexts. Immersive analytics may en...	[ 9597, 21350 ]	Validation
16,797	16	Title: Few-Shot Domain Adaptation for Low Light RAW Image Enhancement Abstract: Enhancing practical low light raw images is a difficult task due to severe noise and color distortions from short exposure time and limited illumination. Despite the success of existing Convolutional Neural Network (CNN) based methods, thei...	[ 27034 ]	Train
16,798	4	Title: DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum Abstract: Federated Learning (FL) allows multiple participating clients to train machine learning models collaboratively by keeping their datasets local and only exchanging the gradient or model updates with a coordinati...	[]	Train
16,799	24	Title: SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Abstract: Multi-Agent Reinforcement Learning (MARL) is vulnerable to Adversarial Machine Learning (AML) attacks and needs adequate defences before it can be used in real world applications. We have conducted a survey int...	[]	Validation
16,800	5	Title: Comverse: A Federative-by-Design Platform for Community Computing Abstract: Communities, ranging from homes to cities, are a ubiquitous part of our lives. However, there is a lack of adequate support for applications built around these communities. As a result, current applications each need to implement their o...	[]	Train
16,801	16	Title: Distilling BlackBox to Interpretable models for Efficient Transfer Learning Abstract: Building generalizable AI models is one of the primary challenges in the healthcare domain. While radiologists rely on generalizable descriptive rules of abnormality, Neural Network (NN) models suffer even with a slight shift i...	[ 13282 ]	Train
16,802	24	Title: Asymptotically Optimal Thompson Sampling Based Policy for the Uniform Bandits and the Gaussian Bandits Abstract: Thompson sampling (TS) for the parametric stochastic multi-armed bandits has been well studied under the one-dimensional parametric models. It is often reported that TS is fairly insensitive to the ch...	[ 7414 ]	Train
16,803	16	Title: Multiscale Attention via Wavelet Neural Operators for Vision Transformers Abstract: Transformers have achieved widespread success in computer vision. At their heart, there is a Self-Attention (SA) mechanism, an inductive bias that associates each token in the input with every other token through a weighted basis...	[]	Train
16,804	16	Title: MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging Videos Abstract: While impressive progress has been achieved, video instance segmentation (VIS) methods with per-clip input often fail on challenging videos with occluded objects and crowded scenes. This is mainly because i...	[ 39737, 6530, 5143 ]	Validation
16,805	16	Title: Dynamic Voxel Grid Optimization for High-Fidelity RGB-D Supervised Surface Reconstruction Abstract: Direct optimization of interpolated features on multi-resolution voxel grids has emerged as a more efficient alternative to MLP-like modules. However, this approach is constrained by higher memory expenses and lim...	[ 33277 ]	Test
16,806	16	Title: Young Labeled Faces in the Wild (YLFW): A Dataset for Children Faces Recognition Abstract: Face recognition has achieved outstanding performance in the last decade with the development of deep learning techniques. Nowadays, the challenges in face recognition are related to specific scenarios, for instance, the p...	[ 13729 ]	Test
16,807	24	Title: Uncertainty Estimation by Fisher Information-based Evidential Deep Learning Abstract: Uncertainty estimation is a key factor that makes deep learning reliable in practical applications. Recently proposed evidential neural networks explicitly account for different uncertainties by treating the network's outputs a...	[ 18800, 28099 ]	Train
16,808	24	Title: Recent applications of machine learning, remote sensing, and iot approaches in yield prediction: a critical review Abstract: The integration of remote sensing and machine learning in agriculture is transforming the industry by providing insights and predictions through data analysis. This combination leads to im...	[]	Train
16,809	16	Title: Boosting Multi-modal Model Performance with Adaptive Gradient Modulation Abstract: While the field of multi-modal learning keeps growing fast, the deficiency of the standard joint training paradigm has become clear through recent studies. They attribute the sub-optimal performance of the jointly trained model to...	[]	Test
16,810	16	Title: Inpainting borehole images using Generative Adversarial Networks Abstract: — In this paper, we propose a GAN-based approach for gap filling in borehole images created by wireline microresistivity imaging tools. The proposed method utilizes a generator, global discriminator, and local discriminator to inpaint the...	[]	Train
16,811	30	Title: LogicLLM: Exploring Self-supervised Logic-enhanced Training for Large Language Models Abstract: Existing efforts to improve logical reasoning ability of language models have predominantly relied on supervised fine-tuning, hindering generalization to new domains and/or tasks. The development of Large Langauge Mod...	[ 14592, 13700, 33220, 25892, 7695, 24053, 634, 26974 ]	Train
16,812	30	Title: Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery Abstract: In this paper, we conduct the first study on spurious correlations for open-domain response generation models based on a corpus CGDialog curated by ourselves. The current models indeed s...	[]	Test
16,813	2	Title: Defining Logical Systems via Algebraic Constraints on Proofs Abstract: We comprehensively present a program of decomposition of proof systems for non-classical logics into proof systems for other logics, especially classical logic, using an algebra of constraints. That is, one recovers a proof system for a targe...	[ 11368 ]	Test
16,814	30	Title: Detecting Stance of Authorities towards Rumors in Arabic Tweets: A Preliminary Study Abstract: A myriad of studies addressed the problem of rumor verification in Twitter by either utilizing evidence from the propagation networks or external evidence from the Web. However, none of these studies exploited evidence...	[]	Train
16,815	6	Title: Towards Attention–aware Foveated Rendering Abstract: Foveated graphics is a promising approach to solving the bandwidth challenges of immersive virtual and augmented reality displays by exploiting the falloff in spatial acuity in the periphery of the visual field. However, the perceptual models used in these app...	[]	Train
16,816	27	Title: Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment Abstract: In this paper, a novel robotic grasping system is established to automatically pick up objects in cluttered scenes. A composite robotic hand composed of a suction cup and a gripper is designed for grasping the object s...	[ 17701, 10064, 2132, 8507, 36892, 15679 ]	Validation
16,817	2	Title: A Proof Tree Builder for Sequent Calculus and Hoare Logic Abstract: We have developed a web-based pedagogical proof assistant, the Proof Tree Builder, that lets you apply rules upwards from the initial goal in sequent calculus and Hoare logic for a simple imperative language. We equipped our tool with a basic pr...	[]	Test
16,818	23	Title: Specification-based CSV Support in VDM Abstract: CSV is a widely used format for data representing systems control, information exchange and processing, logging, etc. Nevertheless, the format is riddled with tricky corner cases and inconsistencies, which can make input data unreliable, thus, rendering modelling ...	[]	Test
16,819	16	Title: Mesh Conflation of Oblique Photogrammetric Models Using Virtual Cameras and Truncated Signed Distance Field Abstract: Conflating/stitching 2.5-D raster digital surface models (DSMs) into a large one has been a running practice in geoscience applications; however, conflating full-3-D mesh models, such as those fr...	[ 9426 ]	Train
16,820	16	Title: The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation Abstract: Denoising diffusion probabilistic models have transformed image generation with their impressive fidelity and diversity. We show that they also excel in estimating optical flow and monocular depth, surprisi...	[ 21152, 8308, 40405, 36286 ]	Train
16,821	1	Title: Text2Poster: Laying Out Stylized Texts on Retrieved Images Abstract: Poster generation is a significant task for a wide range of applications, which is often time-consuming and requires lots of manual editing and artistic experience. In this paper, we propose a novel data-driven framework, called Text2Poster, to...	[ 15939, 1894 ]	Test
16,822	30	Title: Learning Evaluation Models from Large Language Models for Sequence Generation Abstract: Large language models achieve state-of-the-art performance on sequence generation evaluation, but typically have a large number of parameters. This is a computational challenge as presented by applying their evaluation capabi...	[ 38208, 22083, 12741, 17061, 1802, 27987, 16214, 21820, 35545, 3802, 39451, 34908 ]	Train
16,823	27	Title: Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement Abstract: Language is compositional; an instruction can express multiple relation constraints to hold among objects in a scene that a robot is tasked to rearrange. Our focus in this work is an instructable scene-rearranging framewor...	[ 13664, 15779, 1318, 26059, 7960, 28827 ]	Train
16,824	30	Title: Distilling ChatGPT for Explainable Automated Student Answer Assessment Abstract: Assessing student answers and providing valuable feedback is crucial for effective learning, but it can be a time-consuming task. Traditional methods of automating student answer assessment through text classification often suffer f...	[ 35580, 4902, 44623 ]	Train
16,825	39	Title: Minor-Universal Graph for Graphs on Surfaces Abstract: We show that, for every n and every surface $\Sigma$, there is a graph U embeddable on $\Sigma$ with at most cn^2 vertices that contains as minor every graph embeddable on $\Sigma$ with n vertices. The constant c depends polynomially on the Euler genus of $\...	[]	Test
16,826	30	Title: Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-shot Prompt Learning for Automatic Scoring in Science Education Abstract: Developing models to automatically score students' written responses to science problems is critical for science education. However, collecting and labeling sufficient student res...	[ 11497, 18547, 43046, 34719 ]	Train
16,827	30	Title: ChatGPT: A Meta-Analysis after 2.5 Months Abstract: ChatGPT, a chatbot developed by OpenAI, has gained widespread popularity and media attention since its release in November 2022. However, little hard evidence is available regarding its perception in various sources. In this paper, we analyze over 300,000 tweet...	[ 4996, 16392, 44173, 45455, 400, 24464, 25748, 22036, 18712, 15905, 16166, 17959, 8118, 19255, 21820, 44486, 45127, 13262, 44246, 35289, 25821, 36709, 35051, 38253, 38767, 11509, 26357, 41726 ]	Train
16,828	4	Title: Blockchain-Based Access Control for Secure Smart Industry Management Systems Abstract: nan	[]	Test
16,829	24	Title: Time-Series Pattern Recognition in Smart Manufacturing Systems: A Literature Review and Ontology Abstract: Since the inception of Industry 4.0 in 2012, emerging technologies have enabled the acquisition of vast amounts of data from diverse sources such as machine tools, robust and affordable sensor systems with ...	[ 10188 ]	Test
16,830	23	Title: Evaluating the Impact of Pair Documentation on Requirements Quality and Team Productivity Abstract: The most important deliverable of the requirements engineering process is the software requirements specification(SRS)document. Requirements documentation is important during the complete software development life...	[]	Train
16,831	24	Title: Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part I - Analysis with a Small Sample Size Abstract: Computer simulations, especially of complex phenomena, can be expensive, requiring high-performance computing resources. Often, to understand a phenomenon, multiple simulations are run, ...	[ 29610 ]	Validation
16,832	24	Title: Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks Abstract: Generative adversarial networks (GANs) are known for their strong abilities on capturing the underlying distribution of training instances. Since the seminal work of GAN, many variants of GAN...	[]	Test
16,833	16	Title: Emergent Correspondence from Image Diffusion Abstract: Finding correspondences between images is a fundamental problem in computer vision. In this paper, we show that correspondence emerges in image diffusion models without any explicit supervision. We propose a simple strategy to extract this implicit knowledge...	[ 6756, 37254, 28647, 16103, 21578, 30638, 8308, 41654, 4220 ]	Train
16,834	10	Title: Symmetry-Aware Robot Design with Structured Subgroups Abstract: Robot design aims at learning to create robots that can be easily controlled and perform tasks efficiently. Previous works on robot design have proven its ability to generate robots for various tasks. However, these works searched the robots directl...	[]	Validation
16,835	36	Title: Ties in Multiwinner Approval Voting Abstract: We study the complexity of deciding if there is a tie in a given approval-based multiwinner election, as well as the complexity of counting tied winning committees. We consider a family of Thiele rules, their greedy variants, Phragmen's sequential rule, and Method of...	[ 19910 ]	Train
16,836	2	Title: The algebraic $\lambda$-calculus is a conservative extension of the ordinary $\lambda$-calculus Abstract: The algebraic $\lambda$-calculus is an extension of the ordinary $\lambda$-calculus with linear combinations of terms. We establish that two ordinary $\lambda$-terms are equivalent in the algebraic $\lambda$...	[]	Train
16,837	30	Title: Brain in a Vat: On Missing Pieces Towards Artificial General Intelligence in Large Language Models Abstract: In this perspective paper, we first comprehensively review existing evaluations of Large Language Models (LLMs) using both standardized tests and ability-oriented benchmarks. We pinpoint several problems ...	[ 19720, 34956, 7695, 10262, 21401, 18459, 34717, 40605, 2475, 35243, 36528, 31794, 19252, 23866, 20028, 38338, 33220, 13510, 43593, 16841, 975, 45160, 37742, 29430, 31355 ]	Validation
16,838	24	Title: Understanding the impacts of crop diversification in the context of climate change: a machine learning approach Abstract: The concept of sustainable intensification in agriculture necessitates the implementation of management practices that prioritize sustainability without compromising productivity. However, th...	[]	Train
16,839	30	Title: Transformer Language Models Handle Word Frequency in Prediction Head Abstract: Prediction head is a crucial component of Transformer language models. Despite its direct impact on prediction, this component has often been overlooked in analyzing Transformers. In this study, we investigate the inner workings of th...	[]	Test
16,840	38	Title: Gender imbalance in retracted publications is more favorable toward women authors Abstract: Numerous studies in the literature highlight that women are underrepresented in the scientific domain which further leads to the underrepresentation of women in prestigious publications, authorship positions, and collabor...	[]	Test
16,841	30	Title: VNHSGE: VietNamese High School Graduation Examination Dataset for Large Language Models Abstract: The VNHSGE (VietNamese High School Graduation Examination) dataset, developed exclusively for evaluating large language models (LLMs), is introduced in this article. The dataset, which covers nine subjects, was gene...	[ 20739, 16837, 44173, 4850, 5717, 28087, 35580 ]	Validation
16,842	24	Title: De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network Abstract: Counterfactual inference for continuous rather than binary treatment variables is more common in real-world causal inference tasks. While there are already some sample reweight...	[]	Train
16,843	16	Title: Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture Abstract: This paper demonstrates an approach for learning highly semantic image representations without relying on hand-crafted data-augmentations. We introduce the Image-based Joint-Embedding Predictive Architecture (I-JEPA), a...	[ 33441, 38401, 4643, 29224, 15145, 19920, 28351, 33782, 26359, 14586, 17627, 1116, 11967 ]	Train
16,844	16	Title: Color-aware Deep Temporal Backdrop Duplex Matting System Abstract: Deep learning-based alpha matting showed tremendous improvements in recent years, yet, feature film production studios still rely on classical chroma keying including costly post-production steps. This perceived discrepancy can be explained by so...	[]	Train
16,845	17	Title: LiveHand: Real-time and Photorealistic Neural Hand Rendering Abstract: The human hand is the main medium through which we interact with our surroundings, making its digitization an important problem. While there are several works modeling the geometry of hands, little attention has been paid to capturing photo-r...	[ 37696, 32433 ]	Train
16,846	16	Title: ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation Abstract: While language-guided image manipulation has made remarkable progress, the challenge of how to instruct the manipulation process faithfully reflecting human intentions persists. An accurate and comprehensive descr...	[ 13345, 10788, 41146, 10538, 11820, 15983, 27184, 33049, 34074, 29087 ]	Train
16,847	34	Title: An algorithm for geo-distributed and redundant storage in Garage Abstract: This paper presents an optimal algorithm to compute the assignment of data to storage nodes in the Garage geo-distributed storage system. We discuss the complexity of the different steps of the algorithm and metrics that can be displayed ...	[]	Train
16,848	30	Title: Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment Abstract: Recently, speech-text pre-training methods have shown remarkable success in many speech and natural language processing tasks. However, most previous pre-trained models are usually tailored for one or two speci...	[ 42529, 9580, 20141, 44710 ]	Train
16,849	16	Title: Blind Multimodal Quality Assessment: A Brief Survey and A Case Study of Low-light Images Abstract: Blind image quality assessment (BIQA) aims at automatically and accurately forecasting objective scores for visual signals, which has been widely used to monitor product and service quality in low-light application...	[]	Test
16,850	10	Title: Evaluation of Regularization-based Continual Learning Approaches: Application to HAR Abstract: Pervasive computing allows the provision of services in many important areas, including the relevant and dynamic field of health and well-being. In this domain, Human Activity Recognition (HAR) has gained a lot of atte...	[]	Train
16,851	24	Title: Utilizing Generative Adversarial Networks for Stable Structure Generation in Angry Birds Abstract: This paper investigates the suitability of using Generative Adversarial Networks (GANs) to generate stable structures for the physics-based puzzle game Angry Birds. While previous applications of GANs for level gen...	[]	Train
16,852	24	Title: Machine learning-based spin structure detection Abstract: One of the most important magnetic spin structure is the topologically stabilised skyrmion quasi-particle. Its interesting physical properties make them candidates for memory and efficient neuromorphic computation schemes. For the device operation, detect...	[]	Train
16,853	24	Title: Stability Is Stable: Connections between Replicability, Privacy, and Adaptive Generalization Abstract: The notion of replicable algorithms was introduced by Impagliazzo, Lei, Pitassi, and Sorrell (STOC’22) to describe randomized algorithms that are stable under the resampling of their inputs. More precisely, a r...	[ 15781, 1551, 22099, 28569, 7581, 10878 ]	Test
16,854	16	Title: FMapping: Factorized Efficient Neural Field Mapping for Real-Time Dense RGB SLAM Abstract: In this paper, we introduce FMapping, an efficient neural field mapping framework that facilitates the continuous estimation of a colorized point cloud map in real-time dense RGB SLAM. To achieve this challenging goal with...	[ 33277 ]	Test
16,855	30	Title: Neural Machine Translation for Code Generation Abstract: Neural machine translation (NMT) methods developed for natural language processing have been shown to be highly successful in automating translation from one natural language to another. Recently, these NMT methods have been adapted to the generation of pr...	[ 10976, 4130, 9314, 18306, 36719, 43471, 24948, 35807, 3355, 39773, 29215 ]	Train
16,856	16	Title: Cheap-Fake Detection with LLM Using Prompt Engineering Abstract: The misuse of real photographs with conflicting image captions in news items is an example of the out-of-context (OOC) misuse of media. In order to detect OOC media, individuals must determine the accuracy of the statement and evaluate whether the ...	[ 32071 ]	Train
16,857	37	Title: DILI: A Distribution-Driven Learned Index (Extended version) Abstract: Targeting in-memory one-dimensional search keys, we propose a novel DIstribution-driven Learned Index tree (DILI), where a concise and computation-efficient linear regression model is used for each node. An internal node's key range is equall...	[]	Validation
16,858	28	Title: State-Dependent DMC with a Causal Helper Abstract: A memoryless state sequence governing the behavior of a memoryless state-dependent channel is to be described causally to an encoder wishing to communicate over said channel. Given the maximal-allowed description rate, we seek the description that maximizes the ...	[]	Validation
16,859	16	Title: Do I Have Your Attention: A Large Scale Engagement Prediction Dataset and Baselines Abstract: The degree of concentration, enthusiasm, optimism, and passion displayed by individual(s) while interacting with a machine is referred to as `user engagement'. Engagement comprises of behavioral, cognitive, and affect r...	[]	Train
16,860	20	Title: An Efficient Construction of Yao-Graph in Data-Distributed Settings Abstract: A sparse graph that preserves an approximation of the shortest paths between all pairs of points in a plane is called a geometric spanner. Using range trees of sublinear size, we design an algorithm in massively parallel computation (M...	[]	Train
16,861	16	Title: EVOPOSE: A Recursive Transformer For 3D Human Pose Estimation With Kinematic Structure Priors Abstract: Transformer is popular in recent 3D human pose estimation, which utilizes long-term modeling to lift 2D keypoints into the 3D space. However, current transformer-based methods do not fully exploit the prior kn...	[]	Train
16,862	16	Title: LITAR: Visually Coherent Lighting for Mobile Augmented Reality Abstract: An accurate understanding of omnidirectional environment lighting is crucial for high-quality virtual object rendering in mobile augmented reality (AR). In particular, to support reflective rendering, existing methods have leveraged deep le...	[ 8680, 35634 ]	Test
16,863	8	Title: Collecting Channel State Information in Wi-Fi Access Points for IoT Forensics Abstract: The Internet of Things (IoT) has boomed in recent years, with an ever-growing number of connected devices and a corresponding exponential increase in network traffic. As a result, IoT devices have become potential witnesses o...	[ 6846 ]	Validation
16,864	30	Title: Towards Few-Shot Identification of Morality Frames using In-Context Learning Abstract: Data scarcity is a common problem in NLP, especially when the annotation pertains to nuanced socio-linguistic concepts that require specialized knowledge. As a result, few-shot identification of these concepts is desirable. Fe...	[]	Train
16,865	24	Title: FP-IRL: Fokker-Planck-based Inverse Reinforcement Learning - A Physics-Constrained Approach to Markov Decision Processes Abstract: Inverse Reinforcement Learning (IRL) is a compelling technique for revealing the rationale underlying the behavior of autonomous agents. IRL seeks to estimate the unknown reward func...	[]	Test
16,866	30	Title: Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling Abstract: Quantization of transformer language models faces significant challenges due to the existence of detrimental outliers in activations. We observe that these outliers are asymmetric and con...	[ 6979, 37732, 14384, 5649, 44402, 18516, 1141, 17429, 37438 ]	Test
16,867	16	Title: Adversarial Style Augmentation for Domain Generalization Abstract: It is well-known that the performance of well-trained deep neural networks may degrade significantly when they are applied to data with even slightly shifted distributions. Recent studies have shown that introducing certain perturbation on featur...	[ 23356, 31054 ]	Validation
16,868	37	Title: ScienceBenchmark: A Complex Real-World Benchmark for Evaluating Natural Language to SQL Systems Abstract: Natural Language to SQL systems (NL-to-SQL) have recently shown a significant increase in accuracy for natural language to SQL query translation. This improvement is due to the emergence of transformer-based...	[]	Test
16,869	10	Title: Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training Abstract: We introduce DualMind, a generalist agent designed to tackle various decision-making tasks that addresses challenges posed by current methods, such as overfitting behaviors and dependence on task-specific fine-tuning. DualM...	[ 23970, 37742 ]	Validation
16,870	24	Title: TabADM: Unsupervised Tabular Anomaly Detection with Diffusion Models Abstract: Tables are an abundant form of data with use cases across all scientific fields. Real-world datasets often contain anomalous samples that can negatively affect downstream analysis. In this work, we only assume access to contaminated d...	[ 43459, 4687 ]	Train
16,871	24	Title: Linking a predictive model to causal effect estimation Abstract: A predictive model makes outcome predictions based on some given features, i.e., it estimates the conditional probability of the outcome given a feature vector. In general, a predictive model cannot estimate the causal effect of a feature on the ou...	[]	Validation
16,872	16	Title: Robust Camera Pose Refinement for Multi-Resolution Hash Encoding Abstract: Multi-resolution hash encoding has recently been proposed to reduce the computational cost of neural renderings, such as NeRF. This method requires accurate camera poses for the neural renderings of given scenes. However, contrary to prev...	[ 3225, 11915, 22259 ]	Train
16,873	30	Title: Tagged End-to-End Simultaneous Speech Translation Training Using Simultaneous Interpretation Data Abstract: Simultaneous speech translation (SimulST) translates partial speech inputs incrementally. Although the monotonic correspondence between input and output is preferable for smaller latency, it is not the cas...	[ 17818, 31503 ]	Validation
16,874	16	Title: OmniLabel: A Challenging Benchmark for Language-Based Object Detection Abstract: Language-based object detection is a promising direction towards building a natural interface to describe objects in images that goes far beyond plain category names. While recent methods show great progress in that direction, prope...	[]	Train
16,875	16	Title: Normal-guided Garment UV Prediction for Human Re-texturing Abstract: Clothes undergo complex geometric deformations, which lead to appearance changes. To edit human videos in a physically plausible way, a texture map must take into account not only the garment transformation induced by the body movements and clo...	[ 18487 ]	Train
16,876	16	Title: Prototype Learning for Explainable Regression Abstract: The lack of explainability limits the adoption of deep learning models in clinical practice. While methods exist to improve the understanding of such models, these are mainly saliency-based and developed for classification, despite many important tasks in m...	[]	Test
16,877	10	Title: Relative coordinates are crucial for Ulam's "trick to the train of thought" Abstract: Spatial signal processing algorithms often use pre-given coordinate systems to label pixel positions. These processing algorithms are thus burdened by an external reference grid, making the acquisition of relative, intrinsic fe...	[]	Test

Subsets and Splits

No community queries yet

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