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
39,578	33	Title: Checking in Polynomial Time whether or not a Regular Tree Language is Deterministic Top-Down Abstract: It is well known that for a given bottom-up tree automaton it can be decided whether or not there exists deterministic top-down tree automaton that recognized the same tree language. Recently it was claimed tha...	[]	Train
39,579	24	Title: DiviML: A Module-based Heuristic for Mapping Neural Networks onto Heterogeneous Platforms Abstract: Datacenters are increasingly becoming heterogeneous, and are starting to include specialized hardware for networking, video processing, and especially deep learning. To leverage the heterogeneous compute capabilit...	[]	Train
39,580	27	Title: Learning-Based Design and Control for Quadrupedal Robots With Parallel-Elastic Actuators Abstract: Parallel-elastic joints can improve the efficiency and strength of robots by assisting the actuators with additional torques. For these benefits to be realized, a spring needs to be carefully designed. However, des...	[ 30642 ]	Train
39,581	28	Title: Downlink Precoding for Cell-Free FBMC/OQAM Systems With Asynchronous Reception Abstract: In this work, an efficient precoding design scheme is proposed for downlink cell-free distributed massive multiple-input multiple-output (DM-MIMO) filter bank multi-carrier (FBMC) systems with asynchronous reception and high...	[]	Train
39,582	24	Title: Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation Abstract: Simulating and modeling the long-term dynamics of multi-object physical systems is an essential and challenging task. Current studies model the physical systems utilizing Graph Neural Networks (GNNs) with equivariant properties. Speci...	[]	Train
39,583	30	Title: Learning to Generalize for Cross-domain QA Abstract: There have been growing concerns regarding the out-of-domain generalization ability of natural language processing (NLP) models, particularly in question-answering (QA) tasks. Current synthesized data augmentation methods for QA are hampered by increased train...	[ 42268 ]	Train
39,584	16	Title: PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation Abstract: Panoptic Part Segmentation (PPS) unifies panoptic and part segmentation into one task. Previous works utilize separate approaches to handle things, stuff, and part predictions without shared computation and task associati...	[ 24257, 43375, 41109, 33944, 8506 ]	Validation
39,585	36	Title: Monotonicity of Equilibria in Nonatomic Congestion Games Abstract: This paper studies the monotonicity of equilibrium costs and equilibrium loads in nonatomic congestion games, in response to variations of the demands. The main goal is to identify conditions under which a paradoxical non-monotone behavior can be...	[ 18155 ]	Train
39,586	16	Title: ClusterFuG: Clustering Fully connected Graphs by Multicut Abstract: We propose a graph clustering formulation based on multicut (a.k.a. weighted correlation clustering) on the complete graph. Our formulation does not need specification of the graph topology as in the original sparse formulation of multicut, maki...	[]	Validation
39,587	16	Title: Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra Abstract: Neural Radiance Fields (NeRFs) are a very recent and very popular approach for the problems of novel view synthesis and 3D reconstruction. A popular scene representation used by NeRFs is to combine a uniform, voxel-based subdivision of th...	[ 19781, 18632, 32433, 3672, 18012, 9599 ]	Test
39,588	16	Title: OTOV2: Automatic, Generic, User-Friendly Abstract: The existing model compression methods via structured pruning typically require complicated multi-stage procedures. Each individual stage necessitates numerous engineering efforts and domain-knowledge from the end-users which prevent their wider applications ont...	[ 27477, 23831 ]	Train
39,589	25	Title: Training one model to detect heart and lung sound events from single point auscultations Abstract: Objective: This work proposes a semi-supervised training approach for detecting lung and heart sounds simultaneously with only one trained model and in invariance to the auscultation point. Methods: We use open-acc...	[]	Test
39,590	30	Title: Contrastive Bootstrapping for Label Refinement Abstract: Traditional text classification typically categorizes texts into pre-defined coarse-grained classes, from which the produced models cannot handle the real-world scenario where finer categories emerge periodically for accurate services. In this work, we inv...	[]	Test
39,591	31	Title: Improving Real-Time Bidding in Online Advertising Using Markov Decision Processes and Machine Learning Techniques Abstract: Real-time bidding has emerged as an effective online advertising technique. With real-time bidding, advertisers can position ads per impression, enabling them to optimise ad campaigns by ta...	[]	Train
39,592	30	Title: Evaluating Emotional Nuances in Dialogue Summarization Abstract: Automatic dialogue summarization is a well-established task that aims to identify the most important content from human conversations to create a short textual summary. Despite recent progress in the field, we show that most of the research has foc...	[]	Validation
39,593	16	Title: DTrOCR: Decoder-only Transformer for Optical Character Recognition Abstract: Typical text recognition methods rely on an encoder-decoder structure, in which the encoder extracts features from an image, and the decoder produces recognized text from these features. In this study, we propose a simpler and more effe...	[ 19438 ]	Train
39,594	6	Title: CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context Abstract: When reading a scholarly article, inline citations help researchers contextualize the current article and discover relevant prior work. However, it can be challenging to prioritize and make sense of t...	[ 14635, 45804, 8141, 31250, 43410 ]	Test
39,595	28	Title: Matrix Inference in Growing Rank Regimes Abstract: The inference of a large symmetric signal-matrix $\mathbf{S} \in \mathbb{R}^{N\times N}$ corrupted by additive Gaussian noise, is considered for two regimes of growth of the rank $M$ as a function of $N$. For sub-linear ranks $M=\Theta(N^\alpha)$ with $\alpha\in...	[ 13320, 9193 ]	Train
39,596	28	Title: On Finite Blocklength Lossy Source Coding Abstract: In this monograph, we review recent advances in second-order asymptotics for lossy source coding, which provides approximations to the finite blocklength performance of optimal codes. The monograph is divided into three parts. In part I, we motivate the monogra...	[]	Train
39,597	24	Title: Survival Prediction from Imbalance colorectal cancer dataset using hybrid sampling methods and tree-based classifiers Abstract: Background and Objective: Colorectal cancer is a high mortality cancer. Clinical data analysis plays a crucial role in predicting the survival of colorectal cancer patients, enabling cl...	[]	Train
39,598	24	Title: Taming Resource Heterogeneity In Distributed ML Training With Dynamic Batching Abstract: Current techniques and systems for distributed model training mostly assume that clusters are comprised of homogeneous servers with a constant resource availability. However, cluster heterogeneity is pervasive in computing i...	[ 29782, 27934 ]	Test
39,599	30	Title: CEO: Corpus-based Open-Domain Event Ontology Induction Abstract: Existing event-centric NLP models often only apply to the pre-defined ontology, which significantly restricts their generalization capabilities. This paper presents CEO, a novel Corpus-based Event Ontology induction model to relax the restriction i...	[]	Train
39,600	30	Title: LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities Abstract: This paper presents an exhaustive quantitative and qualitative evaluation of Large Language Models (LLMs) for Knowledge Graph (KG) construction and reasoning. We employ eight distinct datasets that encompa...	[ 32921, 27161, 13978, 4892, 44189, 1326, 9775, 44218, 38849, 33220, 581, 15301, 12238, 3795, 31189, 38102, 19159, 45018, 12128, 44776, 31215, 41207, 35580, 5503 ]	Validation
39,601	31	Title: Privacy-Preserving Fair Item Ranking Abstract: Users worldwide access massive amounts of curated data in the form of rankings on a daily basis. The societal impact of this ease of access has been studied and work has been done to propose and enforce various notions of fairness in rankings. Current computational ...	[]	Train
39,602	30	Title: Graph of Thoughts: Solving Elaborate Problems with Large Language Models Abstract: We introduce Graph of Thoughts (GoT): a framework that advances prompting capabilities in large language models (LLMs) beyond those offered by paradigms such as Chain-of-Thought or Tree of Thoughts (ToT). The key idea and primary ...	[ 13700, 34821, 10502, 37252, 1401, 19472, 33817, 17789, 40610, 22578, 9907, 33477, 13510, 41053, 31851, 30194, 38391, 43641, 23805 ]	Test
39,603	16	Title: Stable Diffusion is Unstable Abstract: Recently, text-to-image models have been thriving. Despite their powerful generative capacity, our research has uncovered a lack of robustness in this generation process. Specifically, the introduction of small perturbations to the text prompts can result in the blending of...	[ 42272, 33220, 3979, 11820, 15983, 8308, 34074, 43867 ]	Test
39,604	24	Title: OccRob: Efficient SMT-Based Occlusion Robustness Verification of Deep Neural Networks Abstract: Occlusion is a prevalent and easily realizable semantic perturbation to deep neural networks (DNNs). It can fool a DNN into misclassifying an input image by occluding some segments, possibly resulting in severe errors...	[ 16728 ]	Train
39,605	6	Title: HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data Abstract: The correlation between children's personal and family characteristics (e.g., demographics and socioeconomic status) and their physical and mental health status has been extensively ...	[ 40743 ]	Validation
39,606	17	Title: DiffMotion: Speech-Driven Gesture Synthesis Using Denoising Diffusion Model Abstract: Speech-driven gesture synthesis is a field of growing interest in virtual human creation. However, a critical challenge is the inherent intricate one-to-many mapping between speech and gestures. Previous studies have explored a...	[ 5628, 36214 ]	Test
39,607	10	Title: The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem Abstract: The Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is one of the most prominent algorithms to solve multi-objective optimization problems. Recently, the fir...	[ 44385, 33350, 14411, 17552, 28340 ]	Validation
39,608	16	Title: Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based on Diffusion Model for Object Detector Abstract: Many physical adversarial patch generation methods are widely proposed to protect personal privacy from malicious monitoring using object detectors. However, they usually fail to generate sati...	[]	Validation
39,609	24	Title: Criminal Investigation Tracker with Suspect Prediction using Machine Learning Abstract: An automated approach to identifying offenders in Sri Lanka would be better than the current system. Obtaining information from eyewitnesses is one of the less reliable approaches and procedures still in use today. Automated ...	[]	Train
39,610	6	Title: Self-Reflection as a Tool to Foster Profound Sustainable Consumption Decisions Abstract: The production of goods we buy on a daily basis accounts for a large portion of greenhouse gas emissions. Although consumers have the power to influence industries' behavior through their demand, making sustainable purchases...	[ 42304 ]	Train
39,611	26	Title: CrowdWeb: A Visualization Tool for Mobility Patterns in Smart Cities Abstract: Human mobility patterns refer to the regularities and trends in the way people move, travel, or navigate through different geographical locations over time. Detecting human mobility patterns is essential for a variety of applications,...	[ 7720 ]	Validation
39,612	30	Title: A primer on getting neologisms from foreign languages to under-resourced languages Abstract: Mainly due to lack of support, most under-resourced languages have a reduced lexicon in most realms and domains of increasing importance, then their speakers need to significantly augment it. Although neologisms should a...	[]	Train
39,613	24	Title: Prismer: A Vision-Language Model with An Ensemble of Experts Abstract: Recent vision-language models have shown impressive multi-modal generation capabilities. However, typically they require training huge models on massive datasets. As a more scalable alternative, we introduce Prismer, a data- and parameter-eff...	[ 10344, 26825, 37227, 37742, 2384, 8084, 17717, 35930, 46107, 2333 ]	Train
39,614	24	Title: Tight Auditing of Differentially Private Machine Learning Abstract: Auditing mechanisms for differential privacy use probabilistic means to empirically estimate the privacy level of an algorithm. For private machine learning, existing auditing mechanisms are tight: the empirical privacy estimate (nearly) matches...	[ 45856, 8578, 33252, 15495, 12296, 20663 ]	Train
39,615	16	Title: Towards Better Data Exploitation In Self-Supervised Monocular Depth Estimation Abstract: Depth estimation plays an important role in the robotic perception system. Self-supervised monocular paradigm has gained significant attention since it can free training from the reliance on depth annotations. Despite recent...	[]	Train
39,616	24	Title: Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation Abstract: Communication can promote coordination in cooperative Multi-Agent Reinforcement Learning (MARL). Nowadays, existing works mainly focus on improving the communication efficiency of agents, neglecting that r...	[ 29221 ]	Validation
39,617	37	Title: Extracting JSON Schemas with tagged unions Abstract: With data lakes and schema-free NoSQL document stores, extracting a descriptive schema from JSON data collections is an acute challenge. In this paper, we target the discovery of tagged unions, a JSON Schema design pattern where the value of one property of an...	[]	Validation
39,618	24	Title: BOtied: Multi-objective Bayesian optimization with tied multivariate ranks Abstract: Many scientific and industrial applications require joint optimization of multiple, potentially competing objectives. Multi-objective Bayesian optimization (MOBO) is a sample-efficient framework for identifying Pareto-optimal so...	[ 35127 ]	Train
39,619	16	Title: Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution Abstract: Exploiting spatial-angular correlation is crucial to light field (LF) image super-resolution (SR), but is highly challenging due to its non-local property caused by the disparities among LF images. Although many deep ...	[ 23332, 20526 ]	Train
39,620	16	Title: Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment Abstract: Multimedia applications are often associated with cross-domain knowledge transfer, where Unsupervised Domain Adaptation (UDA) can be used to reduce the domain shifts. Open Set Domain Adaptation (OSDA) aims to tr...	[ 44985 ]	Train
39,621	16	Title: Progressive Random Convolutions for Single Domain Generalization Abstract: Single domain generalization aims to train a generalizable model with only one source domain to perform well on arbitrary unseen target domains. Image augmentation based on Random Convolutions (RandConv), consisting of one convolution lay...	[ 31054 ]	Train
39,622	4	Title: Improved Differential-neural Cryptanalysis for Round-reduced Simeck32/64 Abstract: . In CRYPTO 2019, Gohr presented diﬀerential-neural cryptanalysis by building the diﬀerential distinguisher with a neural network, achieving practical 11-, and 12-round key recovery attack for Speck 32/64. Inspired by this framewo...	[]	Test
39,623	16	Title: Attention-Based Point Cloud Edge Sampling Abstract: Point cloud sampling is a less explored research topic for this data representation. The most commonly used sampling methods are still classical random sampling and farthest point sampling. With the development of neural networks, various methods have been prop...	[]	Validation
39,624	30	Title: An Investigation into the Effects of Pre-training Data Distributions for Pathology Report Classification Abstract: Pre-trained transformer models have demonstrated success across many natural language processing (NLP) tasks. In applying these models to the clinical domain, a prevailing assumption is that pre-tra...	[]	Train
39,625	16	Title: SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers Abstract: Self-supervised pre-training and transformer-based networks have significantly improved the performance of object detection. However, most of the current self-supervised object detection methods are built o...	[]	Test
39,626	16	Title: Multiscale Dynamic Graph Representation for Biometric Recognition with Occlusions Abstract: Occlusion is a common problem with biometric recognition in the wild. The generalization ability of CNNs greatly decreases due to the adverse effects of various occlusions. To this end, we propose a novel unified framewor...	[]	Train
39,627	32	Title: An algorithm to approximate the real trilogarithm for a real argument Abstract: We present an algorithm to approximate the real trilogarithm for a real argument with IEEE 754-1985 double precision accuracy. The approximation is structured such that it can make use of instruction-level parallelism when executed o...	[]	Validation
39,628	24	Title: Symbolic Discovery of Optimization Algorithms Abstract: We present a method to formulate algorithm discovery as program search, and apply it to discover optimization algorithms for deep neural network training. We leverage efficient search techniques to explore an infinite and sparse program space. To bridge the...	[ 14594, 34819, 40843, 25740, 25231, 43665, 36629, 15129, 12575, 12192, 30367, 20002, 4643, 35, 13347, 19238, 7081, 10538, 29100, 32300, 15921, 18227, 24115, 26165, 37813, 32320, 39491, 5447, 26452, 9956, 19559, 23912, 15345, 40819 ]	Validation
39,629	16	Title: PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing Abstract: Lighting effects such as shadows or reflections are key in making synthetic images realistic and visually appealing. To generate such effects, traditional computer graphics uses a physically-based renderer along with 3D geometr...	[ 9923, 31413 ]	Train
39,630	27	Title: Collaborative Ground-Aerial Multi-Robot System for Disaster Response Missions with a Low-Cost Drone Add-On for Off-the-Shelf Drones Abstract: In disaster-stricken environments, it’s vital to assess the damage quickly, analyse the stability of the environment, and allocate resources to the most vulnerable areas w...	[]	Train
39,631	24	Title: Accelerated Rates between Stochastic and Adversarial Online Convex Optimization Abstract: Stochastic and adversarial data are two widely studied settings in online learning. But many optimization tasks are neither i.i.d. nor fully adversarial, which makes it of fundamental interest to get a better theoretical un...	[ 29593, 26706 ]	Train
39,632	28	Title: Distributed Matrix Computations with Low-weight Encodings Abstract: Straggler nodes are well-known bottlenecks of distributed matrix computations which induce reductions in computation/communication speeds. A common strategy for mitigating such stragglers is to incorporate MDS (maximum distance separable) codes ...	[ 35697, 2363 ]	Train
39,633	16	Title: Modeling Continuous Motion for 3D Point Cloud Object Tracking Abstract: The task of 3D single object tracking (SOT) with LiDAR point clouds is crucial for various applications, such as autonomous driving and robotics. However, existing approaches have primarily relied on appearance matching or motion modeling wi...	[]	Train
39,634	24	Title: Temporal Fusion Transformers for Streamflow Prediction: Value of Combining Attention with Recurrence Abstract: Over the past few decades, the hydrology community has witnessed notable advancements in streamflow prediction, particularly with the introduction of cutting-edge machine-learning algorithms. Recurrent ...	[ 4214 ]	Train
39,635	16	Title: AccFlow: Backward Accumulation for Long-Range Optical Flow Abstract: Recent deep learning-based optical flow estimators have exhibited impressive performance in generating local flows between consecutive frames. However, the estimation of long-range flows between distant frames, particularly under complex object...	[ 37454 ]	Train
39,636	24	Title: Does the evaluation stand up to evaluation? A first-principle approach to the evaluation of classifiers Abstract: How can one meaningfully make a measurement, if the meter does not conform to any standard and its scale expands or shrinks depending on what is measured? In the present work it is argued that curren...	[ 24655 ]	Test
39,637	24	Title: Attention-LSTM for Multivariate Traffic State Prediction on Rural Roads Abstract: Accurate tra ﬃ c volume and speed prediction have a wide range of applications in transportation. It can result in useful and timely information for both travellers and transportation decision-makers. In this study, an Attention ba...	[]	Train
39,638	10	Title: CephGPT-4: An Interactive Multimodal Cephalometric Measurement and Diagnostic System with Visual Large Language Model Abstract: Large-scale multimodal language models (LMMs) have achieved remarkable success in general domains. However, the exploration of diagnostic language models based on multimodal cephalometr...	[ 1923, 13700, 31218, 13525, 7833, 15997, 11614 ]	Test
39,639	31	Title: Generative Job Recommendations with Large Language Model Abstract: The rapid development of online recruitment services has encouraged the utilization of recommender systems to streamline the job seeking process. Predominantly, current job recommendations deploy either collaborative filtering or person-job match...	[ 40192, 4610, 13700, 21252, 21739, 16179, 30131, 24503, 3643 ]	Train
39,640	16	Title: Fine-Grained Spatiotemporal Motion Alignment for Contrastive Video Representation Learning Abstract: As the most essential property in a video, motion information is critical to a robust and generalized video representation. To inject motion dynamics, recent works have adopted frame difference as the source of m...	[]	Test
39,641	30	Title: Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow Abstract: Recent research has shown that language models exploit ‘artifacts’ in benchmarks to solve tasks, rather than truly learning them, leading to inflated model performance. In pursuit of creating better benchmark...	[]	Validation
39,642	30	Title: ChatGPT outperforms crowd workers for text-annotation tasks Abstract: Many NLP applications require manual text annotations for a variety of tasks, notably to train classifiers or evaluate the performance of unsupervised models. Depending on the size and degree of complexity, the tasks may be conducted by crowd ...	[ 22023, 25612, 8724, 39967, 39, 37931, 14380, 35376, 564, 9780, 35388, 29258, 3664, 16464, 14434, 37987, 27238, 18535, 11882, 3693, 116, 36472, 23672, 43641, 39576, 17061, 1702, 7339, 34987, 5303, 9403, 36027, 26305, 25795, 709, 7884, 18638, 3...	Train
39,643	24	Title: A Brief Review of Hypernetworks in Deep Learning Abstract: Hypernetworks, or hypernets in short, are neural networks that generate weights for another neural network, known as the target network. They have emerged as a powerful deep learning technique that allows for greater flexibility, adaptability, dynamism, ...	[ 35986, 18195 ]	Train
39,644	16	Title: ELVIS: Empowering Locality of Vision Language Pre-training with Intra-modal Similarity Abstract: Deep learning has shown great potential in assisting radiologists in reading chest X-ray (CXR) images, but its need for expensive annotations for improving performance prevents widespread clinical application. Visual...	[]	Train
39,645	24	Title: Automatically Marginalized MCMC in Probabilistic Programming Abstract: Hamiltonian Monte Carlo (HMC) is a powerful algorithm to sample latent variables from Bayesian models. The advent of probabilistic programming languages (PPLs) frees users from writing inference algorithms and lets users focus on modeling. Ho...	[]	Train
39,646	27	Title: Evaluating Customization of Remote Tele-operation Interfaces for Assistive Robots Abstract: Mobile manipulator platforms, like the Stretch RE1 robot, make the promise of in-home robotic assistance feasible. For people with severe physical limitations, like those with quadriplegia, the ability to tele-operate the...	[]	Train
39,647	16	Title: Inching Towards Automated Understanding of the Meaning of Art: An Application to Computational Analysis of Mondrian's Artwork Abstract: Deep Neural Networks (DNNs) have been successfully used in classifying digital images but have been less successful in classifying images with meanings that are not linear combi...	[]	Train
39,648	24	Title: Structure-Sensitive Graph Dictionary Embedding for Graph Classification Abstract: Graph structure expression plays a vital role in distinguishing various graphs. In this work, we propose a Structure-Sensitive Graph Dictionary Embedding (SS-GDE) framework to transform input graphs into the embedding space of a gr...	[]	Train
39,649	6	Title: Critical-Reflective Human-AI Collaboration: Exploring Computational Tools for Art Historical Image Retrieval Abstract: Just as other disciplines, the humanities explore how computational research approaches and tools can meaningfully contribute to scholarly knowledge production. We approach the design of computa...	[ 26027 ]	Train
39,650	24	Title: Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters Abstract: High-order Graph Neural Networks (HO-GNNs) have been developed to infer consistent latent spaces in the heterophilic regime, where the label distribution is not correlated with the graph structure. However, most of the existing HO-GNNs ar...	[ 31020, 33342, 28263 ]	Train
39,651	18	Title: Analog Computing for the 21st Century Abstract: Many people think of analog computing as a historic dead-end in computing. In fact, nothing could be further from the truth as analog computing - together with quantum computing - has the potential to bring computing to new levels with respect to raw computational ...	[]	Validation
39,652	16	Title: Shape-Net: Room Layout Estimation from Panoramic Images Robust to Occlusion using Knowledge Distillation with 3D Shapes as Additional Inputs Abstract: Estimating the layout of a room from a single-shot panoramic image is important in virtual/augmented reality and furniture layout simulation. This involves identi...	[]	Train
39,653	16	Title: ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting Abstract: Recent advances in neural rendering have shown great potential for reconstructing scenes from multiview images. However, accurately representing objects with glossy surfaces remains a challenge for existing methods. In this work,...	[ 7068, 19781, 26876 ]	Train
39,654	27	Title: 9DTact: A Compact Vision-Based Tactile Sensor for Accurate 3D Shape Reconstruction and Generalizable 6D Force Estimation Abstract: The advancements in vision-based tactile sensors have boosted the aptitude of robots to perform contact-rich manipulation, particularly when precise positioning and contact state of ...	[ 1869 ]	Train
39,655	30	Title: Dramatic Conversation Disentanglement Abstract: We present a new dataset for studying conversation disentanglement in movies and TV series. While previous work has focused on conversation disentanglement in IRC chatroom dialogues, movies and TV shows provide a space for studying complex pragmatic patterns of flo...	[]	Validation
39,656	16	Title: Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction Abstract: The indeterminate nature of human motion requires trajectory prediction systems to use a probabilistic model to formulate the multi-modality phenomenon and infer a finite set of future trajectories. However, the inference proces...	[]	Train
39,657	16	Title: Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks Abstract: In this study, we investigated whether self-supervised pretraining could produce a neural network feature extractor applicable to multiple classification tasks in B-mode lung ultra...	[]	Validation
39,658	24	Title: Neural networks learn to magnify areas near decision boundaries Abstract: We study how training molds the Riemannian geometry induced by neural network feature maps. At infinite width, neural networks with random parameters induce highly symmetric metrics on input space. Feature learning in networks trained to p...	[ 17627 ]	Train
39,659	18	Title: Kombucha electronics: electronic circuits on kombucha mats Abstract: nan	[]	Validation
39,660	4	Title: Adaptive Privacy Composition for Accuracy-first Mechanisms Abstract: In many practical applications of differential privacy, practitioners seek to provide the best privacy guarantees subject to a target level of accuracy. A recent line of work by \cite{LigettNeRoWaWu17, WhitehouseWuRaRo22} has developed such acc...	[]	Train
39,661	7	Title: A variance reduction strategy for numerical random homogenization based on the equivalent inclusion method Abstract: Using the equivalent inclusion method (a method strongly related to the Hashin-Shtrikman variational principle) as a surrogate model, we propose a variance reduction strategy for the numerical hom...	[]	Train
39,662	5	Title: Average-Case Analysis of Greedy Matching for Large-Scale D2D Resource Sharing Abstract: Given the proximity of many wireless users and their diversity in consuming local resources (e.g., data-plans, computation and energy resources), device-to-device (D2D) resource sharing is a promising approach towards realizi...	[]	Validation
39,663	30	Title: Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach Abstract: Humans work together to solve common problems by having discussions, explaining, and agreeing or disagreeing with each other. Similarly, if a system can have discussions with humans when solving tasks, it can improve t...	[]	Train
39,664	34	Title: A Near-Linear Time Algorithm for the Chamfer Distance Abstract: For any two point sets $A,B \subset \mathbb{R}^d$ of size up to $n$, the Chamfer distance from $A$ to $B$ is defined as $\text{CH}(A,B)=\sum_{a \in A} \min_{b \in B} d_X(a,b)$, where $d_X$ is the underlying distance measure (e.g., the Euclidean or M...	[]	Validation
39,665	16	Title: Performance Metrics for Probabilistic Ordinal Classifiers Abstract: Ordinal classification models assign higher penalties to predictions further away from the true class. As a result, they are appropriate for relevant diagnostic tasks like disease progression prediction or medical image grading. The consensus fo...	[]	Train
39,666	4	Title: The Automation of the Extraction of Evidence masked by Steganographic Techniques in WAV and MP3 Audio Files Abstract: Antiforensics techniques and particularly steganography and cryptography have become increasingly pressing issues that affect the current digital forensics practice, both techniques are widely re...	[ 26354 ]	Train
39,667	33	Title: Closing star-free closure Abstract: We introduce an operator on classes of regular languages, the star-free closure. Our motivation is to generalize standard results of automata theory within a unified framework. Given an arbitrary input class $C$, the star-free closure operator outputs the least class closed un...	[ 5977 ]	Train
39,668	24	Title: Accurate detection of paroxysmal atrial fibrillation with certified-GAN and neural architecture search Abstract: nan	[]	Train
39,669	10	Title: Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction Abstract: We study the problem of learning goal-conditioned policies in Minecraft, a popular, widely accessible yet challenging open-ended environment for developing human-level multi-task agents. We first id...	[ 18427, 37742, 32820, 11544, 18459 ]	Validation
39,670	22	Title: Modal Abstractions for Virtualizing Memory Addresses Abstract: Operating system kernels employ virtual memory management (VMM) subsystems to virtualize the addresses of memory regions in order to to isolate untrusted processes, ensure process isolation and implement demand-paging and copy-on-write behaviors for ...	[]	Train
39,671	10	Title: Data-Driven Model Discrimination of Switched Nonlinear Systems with Temporal Logic Inference Abstract: This paper addresses the problem of data-driven model discrimination for unknown switched systems with unknown linear temporal logic (LTL) specifications, representing tasks, that govern their mode sequences, w...	[]	Test
39,672	16	Title: CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection Abstract: Task driven object detection aims to detect object instances suitable for affording a task in an image. Its challenge lies in object categories available for the task being too diverse to be limited to a closed set of object vocabu...	[ 45242, 46059 ]	Test
39,673	16	Title: IFaceUV: Intuitive Motion Facial Image Generation by Identity Preservation via UV map Abstract: Reenacting facial images is an important task that can find numerous applications. We proposed IFaceUV, a fully differentiable pipeline that properly combines 2D and 3D information to conduct the facial reenactment ta...	[]	Validation
39,674	34	Title: Sparse Convolution for Approximate Sparse Instance Abstract: Computing the convolution $A \star B$ of two vectors of dimension $n$ is one of the most important computational primitives in many fields. For the non-negative convolution scenario, the classical solution is to leverage the Fast Fourier Transform whos...	[]	Test
39,675	30	Title: Characterizing the Emotion Carriers of COVID-19 Misinformation and Their Impact on Vaccination Outcomes in India and the United States Abstract: The COVID-19 Infodemic had an unprecedented impact on health behaviors and outcomes at a global scale. While many studies have focused on a qualitative and quantitative...	[ 3378 ]	Validation
39,676	24	Title: Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy Abstract: Learning meaningful protein representation is important for a variety of biological downstream tasks such as structure-based drug design. Having witnessed the success of protein sequence pretraining, pret...	[ 31733 ]	Train
39,677	38	Title: AI Literature Review Suite Abstract: The process of conducting literature reviews is often time-consuming and labor-intensive. To streamline this process, I present an AI Literature Review Suite that integrates several functionalities to provide a comprehensive literature review. This tool leverages the power of...	[ 43641, 33220 ]	Test

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