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
22,178	24	Title: QIGen: Generating Efficient Kernels for Quantized Inference on Large Language Models Abstract: We present ongoing work on a new automatic code generation approach for supporting quantized generative inference on LLMs such as LLaMA or OPT on off-the-shelf CPUs. Our approach is informed by the target architecture ...	[ 13700 ]	Test
22,179	24	Title: DP-SGD Without Clipping: The Lipschitz Neural Network Way Abstract: State-of-the-art approaches for training Differentially Private (DP) Deep Neural Networks (DNN) faces difficulties to estimate tight bounds on the sensitivity of the network's layers, and instead rely on a process of per-sample gradient clipping...	[ 40007, 15495 ]	Test
22,180	24	Title: Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization Abstract: Parameter-efficient fine-tuning (PEFT) methods have emerged to mitigate the prohibitive cost of full fine-tuning large language models (LLMs). Nonetheless, the enormous size of LLMs impedes routine deplo...	[ 634, 6979, 13700, 27282 ]	Test
22,181	16	Title: Benchmarking Ultra-High-Definition Image Reflection Removal Abstract: Deep learning based methods have achieved significant success in the task of single image reflection removal (SIRR). However, the majority of these methods are focused on High-Definition/Standard-Definition (HD/SD) images, while ignoring highe...	[ 19098, 31078 ]	Train
22,182	16	Title: 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation Abstract: Regression-based methods for 3D human pose estimation directly predict the 3D pose parameters from a 2D image using deep networks. While achieving state-of-the-art performance on standard benchmarks, their performance degrades u...	[]	Train
22,183	24	Title: Hybrid Transformer-RNN Architecture for Household Occupancy Detection Using Low-Resolution Smart Meter Data Abstract: Residential occupancy detection has become an enabling technology in today's urbanized world for various smart home applications, such as building automation, energy management, and improved secu...	[]	Train
22,184	4	Title: VibHead: An Authentication Scheme for Smart Headsets through Vibration Abstract: Recent years have witnessed the fast penetration of Virtual Reality (VR) and Augmented Reality (AR) systems into our daily life, the security and privacy issues of the VR/AR applications have been attracting considerable attention. ...	[]	Train
22,185	28	Title: Frames for signal processing on Cayley graphs Abstract: The spectral decomposition of graph adjacency matrices is an essential ingredient in the design of graph signal processing (GSP) techniques. When the adjacency matrix has multi-dimensional eigenspaces, it is desirable to base GSP constructions on a particul...	[]	Train
22,186	30	Title: On the Robustness of Text Vectorizers Abstract: A fundamental issue in machine learning is the robustness of the model with respect to changes in the input. In natural language processing, models typically contain a first embedding layer, transforming a sequence of tokens into vector representations. While the r...	[ 22568 ]	Validation
22,187	28	Title: Large Intelligent Surface Measurements for Joint Communication and Sensing Abstract: Multiple concepts for future generations of wireless communication standards utilize coherent processing of signals from many distributed antennas. Names for these concepts include distributed MIMO, cell-free massive MIMO, XL-MI...	[]	Train
22,188	4	Title: Covert Communication in Autoencoder Wireless Systems Abstract: Hiding the wireless communication by transmitter Alice to intended receiver Bob from a capable and attentive adversary Willie has been widely studied under the moniker"covert communications". However, when such covert communication is done in the pre...	[]	Train
22,189	22	Title: Newtonian Program Analysis of Probabilistic Programs Abstract: Due to their quantitative nature, probabilistic programs pose non-trivial challenges for designing compositional and efficient program analyses. Many analyses for probabilistic programs rely on iterative approximation. This article presents an interp...	[]	Validation
22,190	24	Title: Backstepping Temporal Difference Learning Abstract: Off-policy learning ability is an important feature of reinforcement learning (RL) for practical applications. However, even one of the most elementary RL algorithms, temporal-difference (TD) learning, is known to suffer form divergence issue when the off-polic...	[]	Train
22,191	16	Title: Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment Abstract: Source-free Unsupervised Domain Adaptation (SF-UDA) aims to adapt a well-trained source model to an unlabeled target domain without access to the source data. One key challenge is the lack of source data during domain adapt...	[]	Train
22,192	27	Title: Poly-MOT: A Polyhedral Framework For 3D Multi-Object Tracking Abstract: 3D Multi-object tracking (MOT) empowers mobile robots to accomplish well-informed motion planning and navigation tasks by providing motion trajectories of surrounding objects. However, existing 3D MOT methods typically employ a single simila...	[ 16703 ]	Train
22,193	24	Title: Private and Communication-Efficient Algorithms for Entropy Estimation Abstract: Modern statistical estimation is often performed in a distributed setting where each sample belongs to a single user who shares their data with a central server. Users are typically concerned with preserving the privacy of their samp...	[]	Train
22,194	4	Title: There Are No Post-Quantum Weakly Pseudo-Free Families in Any Nontrivial Variety of Expanded Groups Abstract: Let $\Omega$ be a finite set of finitary operation symbols and let $\mathfrak V$ be a nontrivial variety of $\Omega$-algebras. Assume that for some set $\Gamma\subseteq\Omega$ of group operation symbols, ...	[]	Train
22,195	26	Title: Utility-Oriented Wireless Communications for 6G Networks: Semantic Information Transfer for IRS aided Vehicular Metaverse Abstract: This paper introduces the novel utility-oriented communications (UOC) concept and identifies its importance for 6G wireless technology. UOC encompasses existing communication paradi...	[]	Train
22,196	24	Title: Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels Abstract: Wasserstein gradient flows of maximum mean discrepancy (MMD) functionals with non-smooth Riesz kernels show a rich structure as singular measures can become absolutely continuous ones and conversely. In this paper we co...	[ 27864 ]	Test
22,197	8	Title: Automatic Parallelization of Software Network Functions Abstract: Software network functions (NFs) trade-off flexibility and ease of deployment for an increased challenge of performance. The traditional way to increase NF performance is by distributing traffic to multiple CPU cores, but this poses a significant ...	[]	Validation
22,198	30	Title: Unified Conversational Models with System-Initiated Transitions between Chit-Chat and Task-Oriented Dialogues Abstract: Spoken dialogue systems (SDSs) have been separately developed under two different categories, task-oriented and chit-chat. The former focuses on achieving functional goals and the latter aims a...	[ 19670 ]	Train
22,199	16	Title: Exploring the Effect of Sparse Recovery on the Quality of Image Superresolution Abstract: Dictionary learning can be used for image superresolution by learning a pair of coupled dictionaries of image patches from high-resolution and low-resolution image pairs such that the corresponding pairs share the same spar...	[ 29791 ]	Train
22,200	23	Title: Energy-Saving Strategies for Mobile Web Apps and their Measurement: Results from a Decade of Research Abstract: In 2022, over half of the web traffic was accessed through mobile devices. By reducing the energy consumption of mobile web apps, we can not only extend the battery life of our devices, but also make a...	[ 1506 ]	Train
22,201	24	Title: RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment Abstract: Generative foundation models are susceptible to implicit biases that can arise from extensive unsupervised training data. Such biases can produce suboptimal samples, skewed outcomes, and unfairness, with potentially serious conseq...	[ 13700, 25734, 40330, 4111, 37152, 14501, 31145, 25772, 10163, 17076, 2490, 29115, 1595, 4816, 45923, 36844, 17263, 36084, 44537 ]	Test
22,202	30	Title: Tag Prediction of Competitive Programming Problems using Deep Learning Techniques Abstract: In the past decade, the amount of research being done in the fields of machine learning and deep learning, predominantly in the area of natural language processing (NLP), has risen dramatically. A well-liked method for de...	[]	Train
22,203	17	Title: Interactive High-Resolution Simulation of Granular Material Abstract: We introduce a particle-based simulation method for granular material in interactive frame rates. We divide the simulation into two decoupled steps. In the first step, a relatively small number of particles is accurately simulated with a const...	[ 36360 ]	Test
22,204	24	Title: Advancing underwater acoustic target recognition via adaptive data pruning and smoothness-inducing regularization Abstract: Underwater acoustic recognition for ship-radiated signals has high practical application value due to the ability to recognize non-line-of-sight targets. However, due to the difficulty of d...	[ 28517 ]	Train
22,205	24	Title: Vehicle Price Prediction By Aggregating decision tree model With Boosting Model Abstract: Predicting the price of used vehicles is a more interesting and needed problem by many users. Vehicle price prediction can be a challenging task due to the high number of attributes that should be considered for accurate pr...	[]	Test
22,206	4	Title: Spear or Shield: Leveraging Generative AI to Tackle Security Threats of Intelligent Network Services Abstract: Generative AI (GAI) models have been rapidly advancing, with a wide range of applications including intelligent networks and mobile AI-generated content (AIGC) services. Despite their numerous applicati...	[ 41122, 1603, 41178, 30925, 8853, 22873, 38810, 20798, 5375 ]	Train
22,207	30	Title: LTCR: Long-Text Chinese Rumor Detection Dataset Abstract: False information can spread quickly on social media, negatively influencing the citizens' behaviors and responses to social events. To better detect all of the fake news, especially long texts which are harder to find completely, a Long-Text Chinese Rumo...	[]	Train
22,208	27	Title: DeformerNet: Learning Bimanual Manipulation of 3D Deformable Objects Abstract: Applications in fields ranging from home care to warehouse fulfillment to surgical assistance require robots to reliably manipulate the shape of 3D deformable objects. Analytic models of elastic, 3D deformable objects require numerous...	[]	Train
22,209	28	Title: An MDP approach for radio resource allocation in urban Future Railway Mobile Communication System (FRMCS) scenarios Abstract: In the context of railway systems, the application performance can be very critical and the radio conditions not advantageous. Hence, the communication problem parameters include both a s...	[ 16316, 30831 ]	Validation
22,210	24	Title: Goodness-of-Fit of Attributed Probabilistic Graph Generative Models Abstract: Probabilistic generative models of graphs are important tools that enable representation and sampling. Many recent works have created probabilistic models of graphs that are capable of representing not only entity interactions but also...	[]	Train
22,211	24	Title: Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution Abstract: Inductive one-bit matrix completion is motivated by modern applications such as recommender systems, where new users would appear at test stage with the ratings consisting of only ones and no zeros. We propose a unifi...	[ 15056 ]	Validation
22,212	24	Title: AI Maintenance: A Robustness Perspective Abstract: In this article, we carve out artificial intelligence (AI) maintenance from the robustness perspective. Our proposal for AI maintenance facilitates robustness assessment, status tracking, risk scanning, model hardening, and regulation throughout the AI lifecycle...	[ 33962, 1981 ]	Train
22,213	10	Title: A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning Abstract: Knowledge Graph Embedding (KGE) has proven to be an effective approach to solving the Knowledge Graph Completion (KGC) task. Relational patterns which refer to relations with specific semantics exhibiting...	[ 5451 ]	Test
22,214	6	Title: DETECTA: Investigación de metodologías no intrusivas apoyadas en tecnologías habilitadoras 4.0 para abordar un mantenimiento predictivo y ciberseguro en pymes industriales Abstract: This work presents the results of the DETECTA project, which addresses industrial research activities for the generation of predict...	[]	Train
22,215	24	Title: Differentiable Multi-Fidelity Fusion: Efficient Learning of Physics Simulations with Neural Architecture Search and Transfer Learning Abstract: With rapid progress in deep learning, neural networks have been widely used in scientific research and engineering applications as surrogate models. Despite the great su...	[]	Train
22,216	37	Title: Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data Abstract: Existing approaches to automatic data transformation are insufficient to meet the requirements in many real-world scenarios, such as the building sector. First, there is no convenient interface for d...	[ 32730, 34116 ]	Test
22,217	10	Title: Exploiting Uncertainty for Querying Inconsistent Description Logics Knowledge Bases Abstract: The necessity to manage inconsistency in Description Logics Knowledge Bases (KBs) has come to the fore with the increasing importance gained by the Semantic Web, where information comes from different sources that const...	[]	Train
22,218	10	Title: Establishing Shared Query Understanding in an Open Multi-Agent System Abstract: We propose a method that allows to develop shared understanding between two agents for the purpose of performing a task that requires cooperation. Our method focuses on efficiently establishing successful task-oriented communication ...	[]	Test
22,219	30	Title: Modeling Cross-Cultural Pragmatic Inference with Codenames Duet Abstract: Pragmatic reference enables efficient interpersonal communication. Prior work uses simple reference games to test models of pragmatic reasoning, often with unidentified speakers and listeners. In practice, however, speakers' sociocultural ...	[ 27902 ]	Train
22,220	24	Title: Modelling the performance of delivery vehicles across urban micro-regions to accelerate the transition to cargo-bike logistics Abstract: Light goods vehicles (LGV) used extensively in the last mile of delivery are one of the leading polluters in cities. Cargo-bike logistics has been put forward as a high impact ...	[]	Train
22,221	16	Title: Self-supervised Training Sample Difficulty Balancing for Local Descriptor Learning Abstract: In the case of an imbalance between positive and negative samples, hard negative mining strategies have been shown to help models learn more subtle differences between positive and negative samples, thus improving recogn...	[]	Test
22,222	16	Title: ConceptFusion: Open-set Multimodal 3D Mapping Abstract: Building 3D maps of the environment is central to robot navigation, planning, and interaction with objects in a scene. Most existing approaches that integrate semantic concepts with 3D maps largely remain confined to the closed-set setting: they can only re...	[ 37380, 16524, 6541, 28557, 18447, 25759, 26786, 17700, 15269, 3629, 20785, 41400, 18244, 16074, 13515, 30039, 18267, 42462, 7776, 998, 42986, 17390, 39158, 7419 ]	Validation
22,223	24	Title: Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications Abstract: There is increasing interest in data-driven approaches for recommending optimal treatment strategies in many chronic disease management and critical care applications. Reinforcement learning methods are well-suited t...	[]	Train
22,224	4	Title: Can Deepfakes be created on a whim? Abstract: Recent advancements in machine learning and computer vision have led to the proliferation of Deepfakes. As technology democratizes over time, there is an increasing fear that novice users can create Deepfakes, to discredit others and undermine public discourse. In th...	[]	Validation
22,225	6	Title: Training development for multisensory data analysis Abstract: Perception is a process that requires a great deal of mental processing, which provides the means by which one's concept of the environment is created and which helps one learn and interact with it. The compilation of previous studies throughout histo...	[]	Test
22,226	24	Title: Intensity-free Convolutional Temporal Point Process: Incorporating Local and Global Event Contexts Abstract: Event prediction in the continuous-time domain is a crucial but rather difficult task. Temporal point process (TPP) learning models have shown great advantages in this area. Existing models mainly focus o...	[ 36423 ]	Train
22,227	6	Title: A Problem Space for Designing Visualizations Abstract: Visualization researchers and visualization professionals seek appropriate abstractions of visualization requirements that permit considering visualization solutions independently from specific problems. Abstractions can help us design, analyze, organize, an...	[]	Train
22,228	24	Title: Continuous Function Structured in Multilayer Perceptron for Global Optimization Abstract: The gradient information of multilayer perceptron with a linear neuron is modified with functional derivative for the global minimum search benchmarking problems. From this approach, we show that the landscape of the gradie...	[]	Validation
22,229	27	Title: Occlusion-Free Image Based Visual Servoing using Probabilistic Control Barrier Certificates Abstract: Image-based visual servoing (IBVS) is a widely-used approach in robotics that employs visual information to guide robots towards desired positions. However, occlusions in this approach can lead to visual servoin...	[]	Train
22,230	24	Title: Improve State-Level Wheat Yield Forecasts in Kazakhstan on GEOGLAM's EO Data by Leveraging A Simple Spatial-Aware Technique Abstract: Accurate yield forecasting is essential for making informed policies and long-term decisions for food security. Earth Observation (EO) data and machine learning algorithms play a ...	[]	Train
22,231	16	Title: Image Aesthetics Assessment via Learnable Queries Abstract: Image aesthetics assessment (IAA) aims to estimate the aesthetics of images. Depending on the content of an image, diverse criteria need to be selected to assess its aesthetics. Existing works utilize pre-trained vision backbones based on content knowle...	[ 10624, 13731 ]	Train
22,232	24	Title: Deep Graph Stream SVDD: Anomaly Detection in Cyber-Physical Systems Abstract: Our work focuses on anomaly detection in cyber-physical systems. Prior literature has three limitations: (1) Failing to capture long-delayed patterns in system anomalies; (2) Ignoring dynamic changes in sensor connections; (3) The curs...	[ 31608 ]	Train
22,233	30	Title: Topics in Contextualised Attention Embeddings Abstract: Contextualised word vectors obtained via pre-trained language models encode a variety of knowledge that has already been exploited in applications. Complementary to these language models are probabilistic topic models that learn thematic patterns from the t...	[ 2668 ]	Train
22,234	30	Title: Iterated Piecewise Affine (IPA) Approximation for Language Modeling Abstract: In this work, we demonstrate the application of a simple first-order Taylor expansion to approximate a generic function $F: R^{n \times m} \to R^{n \times m}$ and utilize it in language modeling. To enhance the basic Taylor expansion, ...	[]	Test
22,235	24	Title: EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation Abstract: Artificial intelligence (AI) has been widely used in bioimage image analysis nowadays, but the efficiency of AI models, like the energy consumption and latency is not ignorable due to the growing model size and ...	[]	Train
22,236	24	Title: MO-DEHB: Evolutionary-based Hyperband for Multi-Objective Optimization Abstract: Hyperparameter optimization (HPO) is a powerful technique for automating the tuning of machine learning (ML) models. However, in many real-world applications, accuracy is only one of multiple performance criteria that must be consid...	[ 43290 ]	Validation
22,237	16	Title: Improving Defensive Distillation using Teacher Assistant Abstract: Adversarial attacks pose a significant threat to the security and safety of deep neural networks being applied to modern applications. More specifically, in computer vision-based tasks, experts can use the knowledge of model architecture to creat...	[]	Test
22,238	30	Title: Towards the TopMost: A Topic Modeling System Toolkit Abstract: Topic models have been proposed for decades with various applications and recently refreshed by the neural variational inference. However, these topic models adopt totally distinct dataset, implementation, and evaluation settings, which hinders their...	[ 3890, 16236 ]	Test
22,239	23	Title: Automated Mapping of Adaptive App GUIs from Phones to TVs Abstract: With the increasing interconnection of smart devices, users often desire to adopt the same app on quite different devices for identical tasks, such as watching the same movies on both their smartphones and TV. However, the significant difference...	[ 9151 ]	Train
22,240	23	Title: Simulation-Based Validation for Autonomous Driving Systems Abstract: We investigate a rigorous simulation and testing-based validation method for autonomous driving systems that integrates an existing industrial simulator and a formally defined testing environment. The environment includes a scenario generator t...	[]	Train
22,241	16	Title: Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head video Generation Abstract: Talking head video generation aims to animate a human face in a still image with dynamic poses and expressions using motion information derived from a target-driving video, while maintaining the p...	[ 1540 ]	Test
22,242	10	Title: Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking Abstract: Open domain entity state tracking aims to predict reasonable state changes of entities (i.e., [attribute] of [entity] was [before_state] and [after_state] afterwards) given the action descript...	[ 16527 ]	Train
22,243	16	Title: Analyzing Multimodal Objectives Through the Lens of Generative Diffusion Guidance Abstract: Recent years have witnessed astonishing advances in the field of multimodal representation learning, with contrastive learning being the cornerstone for major breakthroughs. Latest works delivered further improvements by ...	[]	Train
22,244	16	Title: SPANet: Frequency-balancing Token Mixer using Spectral Pooling Aggregation Modulation Abstract: Recent studies show that self-attentions behave like low-pass filters (as opposed to convolutions) and enhancing their high-pass filtering capability improves model performance. Contrary to this idea, we investigate e...	[]	Train
22,245	25	Title: Unlocking Foundation Models for Privacy-Enhancing Speech Understanding: An Early Study on Low Resource Speech Training Leveraging Label-guided Synthetic Speech Content Abstract: Automatic Speech Understanding (ASU) leverages the power of deep learning models for accurate interpretation of human speech, leading t...	[ 33129 ]	Train
22,246	30	Title: Finding Stakeholder-Material Information from 10-K Reports using Fine-Tuned BERT and LSTM Models Abstract: All public companies are required by federal securities law to disclose their business and financial activities in their annual 10-K reports. Each report typically spans hundreds of pages, making it difficu...	[]	Train
22,247	16	Title: Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn Abstract: Meta-learning and other approaches to few-shot learning are widely studied for image recognition, and are increasingly applied to other vision tasks such as pose estimation and dense prediction. This naturally raises the question of whether...	[ 13969, 45958, 42263 ]	Train
22,248	3	Title: Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms Abstract: Bias evaluation benchmarks and dataset and model documentation have emerged as central processes for assessing the biases and harms of artificial intelligence (AI) systems. However, these auditing processes have been c...	[ 32387, 13224, 35528, 6423, 19773, 28734 ]	Test
22,249	16	Title: Non-Contrastive Unsupervised Learning of Physiological Signals from Video Abstract: Subtle periodic signals such as blood volume pulse and respiration can be extracted from RGB video, enabling non-contact health monitoring at low cost. Advancements in remote pulse estimation - or remote photoplethysmography (rPP...	[ 14232, 15682, 27720, 45807 ]	Test
22,250	16	Title: End-to-End Page-Level Assessment of Handwritten Text Recognition Abstract: nan	[]	Train
22,251	16	Title: SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations Abstract: Segmentation is one of the most primary tasks in deep learning for medical imaging, owing to its multiple downstream clinical applications. However, generating manual annotation...	[]	Train
22,252	10	Title: Explaining black box text modules in natural language with language models Abstract: Large language models (LLMs) have demonstrated remarkable prediction performance for a growing array of tasks. However, their rapid proliferation and increasing opaqueness have created a growing need for interpretability. Here, ...	[ 38817, 29930, 4434, 40882, 3963, 18428, 18686 ]	Train
22,253	16	Title: Object-based SLAM utilizing unambiguous pose parameters considering general symmetry types Abstract: Existence of symmetric objects, whose observation at different viewpoints can be identical, can deteriorate the performance of simultaneous localization and mapping (SLAM). This work proposes a system for robustl...	[]	Train
22,254	27	Title: Robot-assisted Soil Apparent Electrical Conductivity Measurements in Orchards Abstract: Soil apparent electrical conductivity (ECa) is a vital metric in Precision Agriculture and Smart Farming, as it is used for optimal water content management, geological mapping, and yield prediction. Several existing methods ...	[]	Test
22,255	10	Title: System Predictor: Grounding Size Estimator for Logic Programs under Answer Set Semantics Abstract: Answer set programming is a declarative logic programming paradigm geared towards solving difficult combinatorial search problems. While different logic programs can encode the same problem, their performance may...	[]	Test
22,256	24	Title: De Novo Molecular Generation via Connection-aware Motif Mining Abstract: De novo molecular generation is an essential task for science discovery. Recently, fragment-based deep generative models have attracted much research attention due to their flexibility in generating novel molecules based on existing molecul...	[ 3847, 44040, 5292, 39253, 42140 ]	Train
22,257	11	Title: Implementation of Autonomous Supply Chains for Digital Twinning: a Multi-Agent Approach Abstract: Trade disruptions, the pandemic, and the Ukraine war over the past years have adversely affected global supply chains, revealing their vulnerability. Autonomous supply chains are an emerging topic that has gained at...	[]	Validation
22,258	16	Title: 3D Facial Imperfection Regeneration: Deep learning approach and 3D printing prototypes Abstract: This study explores the potential of a fully convolutional mesh autoencoder model for regenerating 3D nature faces with the presence of imperfect areas. We utilize deep learning approaches in graph processing and ana...	[ 20966 ]	Train
22,259	24	Title: Efficient physics-informed neural networks using hash encoding Abstract: Physics-informed neural networks (PINNs) have attracted a lot of attention in scientific computing as their functional representation of partial differential equation (PDE) solutions offers flexibility and accuracy features. However, their ...	[ 16872, 7258 ]	Train
22,260	16	Title: OmnimatteRF: Robust Omnimatte with 3D Background Modeling Abstract: Video matting has broad applications, from adding interesting effects to casually captured movies to assisting video production professionals. Matting with associated effects such as shadows and reflections has also attracted increasing research...	[ 28113, 5820, 11206 ]	Train
22,261	24	Title: Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training Abstract: Deploying models on target domain data subject to distribution shift requires adaptation. Test-time training (TTT) emerges as a solution to this adaptation under a realistic sce...	[ 43608 ]	Validation
22,262	24	Title: Finding Meaningful Distributions of ML Black-boxes under Forensic Investigation Abstract: Given a poorly documented neural network model, we take the perspective of a forensic investigator who wants to find out the model's data domain (e.g. whether on face images or traffic signs). Although existing methods such...	[]	Train
22,263	24	Title: Time Interpret: a Unified Model Interpretability Library for Time Series Abstract: We introduce $\texttt{time_interpret}$, a library designed as an extension of Captum, with a specific focus on temporal data. As such, this library implements several feature attribution methods that can be used to explain predict...	[ 38801 ]	Train
22,264	24	Title: Explainable Reinforcement Learning via a Causal World Model Abstract: Generating explanations for reinforcement learning (RL) is challenging as actions may produce long-term effects on the future. In this paper, we develop a novel framework for explainable RL by learning a causal world model without prior knowle...	[]	Validation
22,265	16	Title: Building-road Collaborative Extraction from Remotely Sensed Images via Cross-Interaction Abstract: Buildings are the basic carrier of social production and human life; roads are the links that interconnect social networks. Building and road information has important application value in the frontier fields of re...	[]	Test
22,266	24	Title: A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning Abstract: We propose a novel hierarchical Bayesian model for learning with a large (possibly infinite) number of tasks/episodes, which suits well the few-shot meta learning problem. We consider episode-wise random variables to model episode-specific t...	[]	Train
22,267	24	Title: Compositional Learning of Visually-Grounded Concepts Using Reinforcement Abstract: Deep reinforcement learning agents need to be trained over millions of episodes to decently solve navigation tasks grounded to instructions. Furthermore, their ability to generalize to novel combinations of instructions is unclear...	[ 30456 ]	Test
22,268	25	Title: Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion Abstract: There are growing implications surrounding generative AI in the speech domain that enable voice cloning and real-time voice conversion from one individual to another. This technology poses a significant ethical threat and could le...	[]	Train
22,269	28	Title: On the Capacity of Generalized Quadrature Spatial Modulation Abstract: In this letter, the average mutual information (AMI) of generalized quadrature spatial modulation (GQSM) is first derived for continuous-input continuous-output channels. Our mathematical analysis shows that the calculation error induced by M...	[]	Train
22,270	34	Title: Lossy Kernelization for (Implicit) Hitting Set Problems Abstract: We re-visit the complexity of kernelization for the $d$-Hitting Set problem. This is a classic problem in Parameterized Complexity, which encompasses several other of the most well-studied problems in this field, such as Vertex Cover, Feedback Ver...	[]	Test
22,271	6	Title: Contextual Font Recommendations based on User Intent Abstract: Adobe Fonts has a rich library of over 20,000 unique fonts that Adobe users utilize for creating graphics, posters, composites etc. Due to the nature of the large library, knowing what font to select can be a daunting task that requires a lot of expe...	[]	Validation
22,272	6	Title: Challenges and Opportunities in Providing Small Farmers Equal Access to Wealth via Rural Credit in Brazil Abstract: Agriculture is impacted by multiple variables such as weather, soil, crop, stocks, socioeconomic context, cultural aspects, supply and demand, just to name a few. Hence, understanding this domain a...	[]	Test
22,273	24	Title: Improving Representational Continuity via Continued Pretraining Abstract: We consider the continual representation learning setting: sequentially pretrain a model $M'$ on tasks $T_1, \ldots, T_T$, and then adapt $M'$ on a small amount of data from each task $T_i$ to check if it has forgotten information from old...	[ 26074 ]	Train
22,274	16	Title: M3PT: A Multi-Modal Model for POI Tagging Abstract: POI tagging aims to annotate a point of interest (POI) with some informative tags, which facilitates many services related to POIs, including search, recommendation, and so on. Most of the existing solutions neglect the significance of POI images and seldom fus...	[]	Train
22,275	10	Title: Deep Learning Accelerator in Loop Reliability Evaluation for Autonomous Driving Abstract: The reliability of deep learning accelerators (DLAs) used in autonomous driving systems has significant impact on the system safety. However, the DLA reliability is usually evaluated with low-level metrics like mean square ...	[]	Validation
22,276	16	Title: Knowledge-enhanced visual-language pre-training on chest radiology images Abstract: nan	[ 512, 39788, 16118 ]	Test
22,277	27	Title: A Customizable Conflict Resolution and Attribute-Based Access Control Framework for Multi-Robot Systems Abstract: As multi-robot systems continue to advance and become integral to various applications, managing conflicts and ensuring secure access control are critical challenges that need to be addressed. Access...	[ 12063 ]	Train

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