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
23,178	16	Title: Scale-Equivariant Deep Learning for 3D Data Abstract: The ability of convolutional neural networks (CNNs) to recognize objects regardless of their position in the image is due to the translation-equivariance of the convolutional operation. Group-equivariant CNNs transfer this equivariance to other transformation...	[ 8532 ]	Train
23,179	24	Title: Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks Abstract: Discovering novel drug candidate molecules is one of the most fundamental and critical steps in drug development. Generative deep learning models, which create synthetic data given a ...	[]	Train
23,180	16	Title: ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration Abstract: Image restoration aims to reconstruct degraded images, e.g., denoising or deblurring. Existing works focus on designing task-specific methods and there are inadequate attempts at universal methods. However, simply unifyin...	[]	Test
23,181	10	Title: Efficient Ground Vehicle Path Following in Game AI Abstract: This short paper presents an efficient path following solution for ground vehicles tailored to game AI. Our focus is on adapting established techniques to design simple solutions with parameters that are easily tunable for an efficient benchmark path f...	[ 23666 ]	Validation
23,182	16	Title: EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object Abstract: Current robotic hand manipulation narrowly operates with objects in predictable positions in limited environments. Thus, when the location of the target object deviates severely from the expected location, a robot sometimes ...	[ 26484 ]	Train
23,183	10	Title: Characterising Decision Theories with Mechanised Causal Graphs Abstract: How should my own decisions affect my beliefs about the outcomes I expect to achieve? If taking a certain action makes me view myself as a certain type of person, it might affect how I think others view me, and how I view others who are sim...	[ 22994 ]	Train
23,184	24	Title: Training Data Protection with Compositional Diffusion Models Abstract: We introduce Compartmentalized Diffusion Models (CDM), a method to train different diffusion models (or prompts) on distinct data sources and arbitrarily compose them at inference time. The individual models can be trained in isolation, at di...	[ 35940, 44741, 12841, 29161, 45104, 27059, 41178, 11100 ]	Train
23,185	7	Title: Multiscale modeling of thermal properties in Polyurethane incorporated with phase change materials composites: A case study Abstract: Polyurethane (PU) is an ideal thermal insulation material due to its excellent thermal properties. The incorporation of Phase Change Materials (PCMs) capsules into Polyurethane (P...	[]	Test
23,186	4	Title: A Review on the effectiveness of Dimensional Reduction with Computational Forensics: An Application on Malware Analysis Abstract: The Android operating system is pervasively adopted as the operating system platform of choice for smart devices like smartphones, tablets, home appliances and Internet of Things (IoT...	[]	Train
23,187	30	Title: Decoding Layer Saliency in Language Transformers Abstract: In this paper, we introduce a strategy for identifying textual saliency in large-scale language models applied to classification tasks. In visual networks where saliency is more well-studied, saliency is naturally localized through the convolutional laye...	[]	Train
23,188	16	Title: Training on Thin Air: Improve Image Classification with Generated Data Abstract: Acquiring high-quality data for training discriminative models is a crucial yet challenging aspect of building effective predictive systems. In this paper, we present Diffusion Inversion, a simple yet effective method that leverages...	[ 29354, 14213, 24951 ]	Train
23,189	24	Title: Augmented Random Search for Multi-Objective Bayesian Optimization of Neural Networks Abstract: Deploying Deep Neural Networks (DNNs) on tiny devices is a common trend to process the increasing amount of sensor data being generated. Multi-objective optimization approaches can be used to compress DNNs by applying ...	[]	Train
23,190	16	Title: GlocalFuse-Depth: Fusing Transformers and CNNs for All-day Self-supervised Monocular Depth Estimation Abstract: In recent years, self-supervised monocular depth estimation has drawn much attention since it frees of depth annotations and achieved remarkable results on standard benchmarks. However, most of existin...	[]	Test
23,191	33	Title: Synchronization of primitive automata Abstract: We exhibit new conditions under which a primitive automaton is synchronizing. In particular, we show that the primitivity of an automaton forces its synchronizability whenever the automaton has either a letter of defect 1 or a word of rank 2.	[ 42240 ]	Train
23,192	16	Title: Type-to-Track: Retrieve Any Object via Prompt-based Tracking Abstract: One of the recent trends in vision problems is to use natural language captions to describe the objects of interest. This approach can overcome some limitations of traditional methods that rely on bounding boxes or category annotations. This ...	[ 9419, 33220, 39047 ]	Train
23,193	30	Title: Semantic Composition in Visually Grounded Language Models Abstract: What is sentence meaning and its ideal representation? Much of the expressive power of human language derives from semantic composition, the mind's ability to represent meaning hierarchically&relationally over constituents. At the same time, muc...	[ 10624, 36769, 13349 ]	Test
23,194	10	Title: Deep active learning for nonlinear system identification Abstract: The exploding research interest for neural networks in modeling nonlinear dynamical systems is largely explained by the networks' capacity to model complex input-output relations directly from data. However, they typically need vast training data...	[]	Train
23,195	2	Title: Robust Probabilistic Temporal Logics Abstract: We robustify PCTL and PCTL*, the most important specification languages for probabilistic systems, and show that robustness does not increase the complexity of the model-checking problems.	[]	Test
23,196	24	Title: Ticketed Learning-Unlearning Schemes Abstract: We consider the learning--unlearning paradigm defined as follows. First given a dataset, the goal is to learn a good predictor, such as one minimizing a certain loss. Subsequently, given any subset of examples that wish to be unlearnt, the goal is to learn, without ...	[ 45104, 22716, 11100 ]	Validation
23,197	6	Title: ChameleonIDE: Untangling Type Errors Through Interactive Visualization and Exploration Abstract: Dynamically typed programming languages are popular in education and the software industry. While presenting a low barrier to entry, they suffer from runtime type errors and longer-term problems in code quality and m...	[]	Train
23,198	30	Title: Improving Few-shot and Zero-shot Entity Linking with Coarse-to-Fine Lexicon-based Retriever Abstract: Few-shot and zero-shot entity linking focus on the tail and emerging entities, which are more challenging but closer to real-world scenarios. The mainstream method is the ''retrieve and rerank'' two-stage framew...	[ 5616 ]	Validation
23,199	25	Title: BovineTalk: Machine Learning for Vocalization Analysis of Dairy Cattle under Negative Affective States Abstract: There is a critical need to develop and validate non-invasive animal-based indicators of affective states in livestock species, in order to integrate them into on-farm assessment protocols, potentiall...	[]	Train
23,200	3	Title: Federated Learning: Organizational Opportunities, Challenges, and Adoption Strategies Abstract: Restrictive rules for data sharing in many industries have led to the development of federated learning. Federated learning is a machine-learning technique that allows distributed clients to train models collaborative...	[]	Train
23,201	10	Title: Identifying Shared Decodable Concepts in the Human Brain Using Image-Language Foundation Models Abstract: We introduce a method that takes advantage of high-quality pretrained multimodal representations to explore fine-grained semantic networks in the human brain. Previous studies have documented evidence of fun...	[]	Test
23,202	30	Title: AMRs Assemble! Learning to Ensemble with Autoregressive Models for AMR Parsing Abstract: In this paper, we examine the current state-of-the-art in AMR parsing, which relies on ensemble strategies by merging multiple graph predictions. Our analysis reveals that the present models often violate AMR structural cons...	[]	Train
23,203	30	Title: Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization Abstract: Document-level multi-event extraction aims to extract the structural information from a given document automatically. Most recent approaches usually involve two steps: (1) modeling entity interactions; (2) ...	[]	Test
23,204	30	Title: EnrichEvent: Enriching Social Data with Contextual Information for Emerging Event Extraction Abstract: Social platforms have emerged as crucial platforms for disseminating information and discussing real-life social events, which offers an excellent opportunity for researchers to design and implement novel event...	[]	Train
23,205	27	Title: Deep Learning of Force Manifolds from the Simulated Physics of Robotic Paper Folding Abstract: Robotic manipulation of slender objects is challenging, especially when the induced deformations are large and nonlinear. Traditionally, learning-based control approaches, such as imitation learning, have been used to ...	[ 9070 ]	Train
23,206	24	Title: Traffic Volume Prediction using Memory-Based Recurrent Neural Networks: A comparative analysis of LSTM and GRU Abstract: Predicting traffic volume in real-time can improve both traffic flow and road safety. A precise traffic volume forecast helps alert drivers to the flow of traffic along their preferred routes,...	[]	Train
23,207	16	Title: PosterLayout: A New Benchmark and Approach for Content-Aware Visual-Textual Presentation Layout Abstract: Content-aware visual-textual presentation layout aims at arranging spatial space on the given canvas for pre-defined elements, including text, logo, and underlay, which is a key to automatic template-free cr...	[]	Train
23,208	28	Title: Two new algorithms for error support recovery of low rank parity check codes Abstract: Due to their weak algebraic structure, low rank parity check (LRPC) codes have been employed in several post-quantum cryptographic schemes. In this paper we propose new improved decoding algorithms for ${\left[ {n,{\text{ }}k}...	[]	Test
23,209	7	Title: A new displacement-controlled arc-length method for damage mechanics problems Abstract: The numerical solution of continuum damage mechanics (CDM) problems suffers from critical points during the material softening stage, and consequently existing iterative solvers are subject to a trade-off between computationa...	[]	Train
23,210	24	Title: A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening Abstract: Graph coarsening is a technique for solving large-scale graph problems by working on a smaller version of the original graph, and possibly interpolating the results back to the original graph. It has a long history in scientifi...	[]	Train
23,211	25	Title: An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies Abstract: This paper presents a deep learning system applied for detecting anomalies from respiratory sound recordings. Initially, our system begins with audio feature extraction using Gammatone and Continuous ...	[]	Train
23,212	6	Title: Automated spacing measurement of formwork system members with 3D point cloud data Abstract: The formwork system belonging to the temporary structure plays an important role in the smooth progress and successful completion of a construction project. Ensuring that the formwork system is installed as designed is es...	[]	Train
23,213	23	Title: A Survey on What Developers Think About Testing Abstract: Software is infamous for its poor quality and frequent occurrence of bugs. While there is no doubt that thorough testing is an appropriate answer to ensure sufficient quality, the poor state of software generally suggests that developers may not always en...	[]	Validation
23,214	32	Title: ProtoX: A First Look Abstract: We present a first look at ProtoX, a code generation framework for stencil and pointwise operations that occur frequently in the numerical solution of partial differential equations. ProtoX has Proto as its library frontend and SPIRAL as the backend. Proto is a C++ based domain spe...	[]	Validation
23,215	10	Title: Mindstorms in Natural Language-Based Societies of Mind Abstract: Both Minsky's"society of mind"and Schmidhuber's"learning to think"inspire diverse societies of large multimodal neural networks (NNs) that solve problems by interviewing each other in a"mindstorm."Recent implementations of NN-based societies of min...	[ 14740, 33477 ]	Train
23,216	16	Title: Mapping EEG Signals to Visual Stimuli: A Deep Learning Approach to Match vs. Mismatch Classification Abstract: Existing approaches to modeling associations between visual stimuli and brain responses are facing difficulties in handling between-subject variance and model generalization. Inspired by the recent prog...	[ 26078, 38 ]	Validation
23,217	16	Title: Separated RoadTopoFormer Abstract: Understanding driving scenarios is crucial to realizing autonomous driving. Previous works such as map learning and BEV lane detection neglect the connection relationship between lane instances, and traffic elements detection tasks usually neglect the relationship with lane lin...	[ 45267 ]	Test
23,218	10	Title: Centralized control for multi-agent RL in a complex Real-Time-Strategy game Abstract: Multi-agent Reinforcement learning (MARL) studies the behaviour of multiple learning agents that coexist in a shared environment. MARL is more challenging than single-agent RL because it involves more complex learning dynamics:...	[ 42133 ]	Test
23,219	31	Title: Evaluating Temporal Persistence Using Replicability Measures Abstract: In real-world Information Retrieval (IR) experiments, the Evaluation Environment (EE) is exposed to constant change. Documents are added, removed, or updated, and the information need and the search behavior of users is evolving. Simultaneous...	[ 10161, 30513 ]	Train
23,220	27	Title: SoftGPT: Learn Goal-oriented Soft Object Manipulation Skills by Generative Pre-trained Heterogeneous Graph Transformer Abstract: Soft object manipulation tasks in domestic scenes pose a significant challenge for existing robotic skill learning techniques due to their complex dynamics and variable shape character...	[ 6178, 8084, 44391, 295 ]	Train
23,221	27	Title: Deep Predictive Learning : Motion Learning Concept inspired by Cognitive Robotics Abstract: A deep learning-based approach can generalize model performance while reducing feature design costs by learning end-to-end environment recognition and motion generation. However, the process incurs huge training data coll...	[ 10846 ]	Train
23,222	24	Title: Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems Abstract: Given an unknown dynamical system, what is the minimum number of samples needed for effective learning of its governing laws and accurate prediction of its future evolution behavior, and how to select these critical s...	[]	Train
23,223	10	Title: Thinker: Learning to Plan and Act Abstract: We propose the Thinker algorithm, a novel approach that enables reinforcement learning agents to autonomously interact with and utilize a learned world model. The Thinker algorithm wraps the environment with a world model and introduces new actions designed for interac...	[ 22152 ]	Train
23,224	24	Title: On the relationship between multivariate splines and infinitely-wide neural networks Abstract: We consider multivariate splines and show that they have a random feature expansion as infinitely wide neural networks with one-hidden layer and a homogeneous activation function which is the power of the rectified lin...	[]	Validation
23,225	23	Title: A First Look at On-device Models in iOS Apps Abstract: Powered by the rising popularity of deep learning techniques on smartphones, on-device deep learning models are being used in vital fields like finance, social media, and driving assistance. Because of the transparency of the Android platform and the on-devi...	[ 13215, 44195, 29028, 9151 ]	Test
23,226	16	Title: Eye Image-based Algorithms to Estimate Percentage Closure of Eye and Saccadic Ratio for Alertness Detection Abstract: The current research work has developed two novel algorithms for image-based measurement of Percentage Closure of Eyes-PERCLOS and Saccadic Ratio-SR. The PERCLOS is estimated by correlation filte...	[]	Train
23,227	34	Title: Approximating Knapsack and Partition via Dense Subset Sums Abstract: Knapsack and Partition are two important additive problems whose fine-grained complexities in the $(1-\varepsilon)$-approximation setting are not yet settled. In this work, we make progress on both problems by giving improved algorithms. - Knap...	[ 29380, 29158, 29959, 10441, 14314, 19340, 11568, 40024, 23005 ]	Train
23,228	16	Title: Fast Adaptation with Bradley-Terry Preference Models in Text-To-Image Classification and Generation Abstract: Recently, large multimodal models, such as CLIP and Stable Diffusion have experimented tremendous successes in both foundations and applications. However, as these models increase in parameter size and c...	[ 6145 ]	Test
23,229	16	Title: Dynamic Grained Encoder for Vision Transformers Abstract: Transformers, the de-facto standard for language modeling, have been recently applied for vision tasks. This paper introduces sparse queries for vision transformers to exploit the intrinsic spatial redundancy of natural images and save computational costs...	[ 8791, 22023, 14601, 34295, 7292 ]	Validation
23,230	30	Title: Radiology-GPT: A Large Language Model for Radiology Abstract: We introduce Radiology-GPT, a large language model for radiology. Using an instruction tuning approach on an extensive dataset of radiology domain knowledge, Radiology-GPT demonstrates superior performance compared to general language models such as S...	[ 45505, 20355, 13700, 16581, 45189, 33220, 40136, 11273, 31147, 44272, 29396, 22133, 16471, 24, 7996, 6942, 1151 ]	Train
23,231	24	Title: APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service Abstract: Cross-silo privacy-preserving federated learning (PPFL) is a powerful tool to collaboratively train robust and generalized machine learning (ML) models without sharing sensitive (e.g., healthcare of financial) local data. T...	[]	Train
23,232	30	Title: A Dual-Stream Recurrence-Attention Network with Global-Local Awareness for Emotion Recognition in Textual Dialogue Abstract: In real-world dialogue systems, the ability to understand the user's emotions and interact anthropomorphically is of great significance. Emotion Recognition in Conversation (ERC) is one of...	[]	Train
23,233	24	Title: On Structural Expressive Power of Graph Transformers Abstract: Graph Transformer has recently received wide attention in the research community with its outstanding performance, yet its structural expressive power has not been well analyzed. Inspired by the connections between Weisfeiler-Lehman (WL) graph isomor...	[ 44836, 23805 ]	Train
23,234	24	Title: A Self-attention Knowledge Domain Adaptation Network for Commercial Lithium-ion Batteries State-of-health Estimation under Shallow Cycles Abstract: Accurate state-of-health (SOH) estimation is critical to guarantee the safety, efficiency and reliability of battery-powered applications. Most SOH estimation method...	[]	Train
23,235	24	Title: Robust Ranking Explanations Abstract: Robust explanations of machine learning models are critical to establish human trust in the models. Due to limited cognition capability, most humans can only interpret the top few salient features. It is critical to make top salient features robust to adversarial attacks, es...	[]	Train
23,236	24	Title: Analyzing Transformer Dynamics as Movement through Embedding Space Abstract: Transformer language models exhibit intelligent behaviors such as understanding natural language, recognizing patterns, acquiring knowledge, reasoning, planning, reflecting and using tools. This paper explores how their underlying mecha...	[ 38272, 26208, 19747, 13510, 16556, 109, 36528, 6963, 23545, 634, 13564, 33626 ]	Train
23,237	3	Title: Acceptable risks in Europe's proposed AI Act: Reasonableness and other principles for deciding how much risk management is enough Abstract: This paper critically evaluates the European Commission’s proposed AI Act’s approach to risk management and risk acceptability for high-risk artificial intelligence system...	[]	Train
23,238	30	Title: Not All Metrics Are Guilty: Improving NLG Evaluation with LLM Paraphrasing Abstract: Most research about natural language generation (NLG) relies on evaluation benchmarks with limited references for a sample, which may result in poor correlations with human judgements. The underlying reason is that one semantic ...	[ 40192, 24832, 37797, 45243, 35545, 39451, 1789 ]	Train
23,239	38	Title: Evolution of priorities in strategic funding for collaborative health research. A comparison of the European Union Framework Programmes to the program funding by the United States National Institutes of Health Abstract: The historical research-funding model, based on the curiosity and academic interests of resea...	[ 29109 ]	Train
23,240	16	Title: Real-Time Idling Vehicles Detection Using Combined Audio-Visual Deep Learning Abstract: Combustion vehicle emissions contribute to poor air quality and release greenhouse gases into the atmosphere, and vehicle pollution has been associated with numerous adverse health effects. Roadways with extensive waiting and...	[]	Train
23,241	16	Title: Decoupled Contrastive Multi-view Clustering with High-order Random Walks Abstract: In recent, some robust contrastive multi-view clustering (MvC) methods have been proposed, which construct data pairs from neighborhoods to alleviate the false negative issue, i.e., some intra-cluster samples are wrongly treated a...	[ 32745, 43498 ]	Train
23,242	30	Title: ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer Abstract: Textual style transfer is the task of transforming stylistic properties of text while preserving meaning. Target"styles"can be defined in numerous ways, ranging from single attributes (e.g, formality) to authorship (e.g, ...	[ 23120, 38936, 3861, 34110 ]	Train
23,243	24	Title: Learning CO$_2$ plume migration in faulted reservoirs with Graph Neural Networks Abstract: Deep-learning-based surrogate models provide an efficient complement to numerical simulations for subsurface flow problems such as CO$_2$ geological storage. Accurately capturing the impact of faults on CO$_2$ plume migrat...	[]	Train
23,244	24	Title: MRQ: Support Multiple Quantization Schemes through Model Re-Quantization Abstract: Despite the proliferation of diverse hardware accelerators (e.g., NPU, TPU, DPU), deploying deep learning models on edge devices with fixed-point hardware is still challenging due to complex model quantization and conversion. Exis...	[]	Train
23,245	28	Title: From Babel to Boole: The Logical Organization of Information Decompositions Abstract: The conventional approach to the general Partial Information Decomposition (PID) problem has been redundancy-based: specifying a measure of redundant information between collections of source variables induces a PID via Moebius...	[]	Validation
23,246	27	Title: RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning Abstract: We introduce RAMP, an open-source robotics benchmark inspired by real-world industrial assembly tasks. RAMP consists of beams that a robot must assemble into specified goal configurations using pegs as fasteners. As such it ass...	[ 15773, 45598, 28847 ]	Train
23,247	30	Title: XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models Abstract: Large multilingual language models typically rely on a single vocabulary shared across 100+ languages. As these models have increased in parameter count and depth, vocabulary size has remained largely unchanged. This voc...	[ 36472, 25813, 22998 ]	Train
23,248	4	Title: A Holistic Framework for Safeguarding of SMEs: A Case Study Abstract: The rapid digitalisation of SMEs, further expedited as a business continuity measure against Covid19 impact, has brought along major cybersecurity challenges, as it creates a fertile landscape for malicious actors, that want to capitalise on t...	[]	Train
23,249	16	Title: The Cascaded Forward Algorithm for Neural Network Training Abstract: Backpropagation algorithm has been widely used as a mainstream learning procedure for neural networks in the past decade, and has played a significant role in the development of deep learning. However, there exist some limitations associated wi...	[ 42920, 2642, 10762 ]	Validation
23,250	10	Title: A Knowledge Engineering Primer Abstract: The aim of this primer is to introduce the subject of knowledge engineering in a concise but synthetic way to develop the reader's intuition about the area.	[]	Train
23,251	24	Title: A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness Abstract: The robustness of deep neural networks (DNNs) against adversarial attacks has been studied extensively in hopes of both better understanding how deep learning models converge and in order to ensure the security of these mod...	[]	Train
23,252	30	Title: Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness Abstract: The capability of Large Language Models (LLMs) like ChatGPT to comprehend user intent and provide reasonable responses has made them extremely popular lately. In this pa...	[ 19720, 30221, 22670, 44687, 29072, 8084, 33302, 7962, 43930, 15004, 14236, 44189, 3359, 40735, 39967, 13224, 9518, 4271, 9775, 11190, 5446, 15049, 45131, 846, 12622, 31189, 44246, 729, 33497, 35289, 12128, 10978, 35427, 35556, 36197, 24422, 163...	Train
23,253	5	Title: Comparative Analysis of CPU and GPU Profiling for Deep Learning Models Abstract: Deep Learning(DL) and Machine Learning(ML) applications are rapidly increasing in recent days. Massive amounts of data are being generated over the internet which can derive meaningful results by the use of ML and DL algorithms. Har...	[]	Train
23,254	27	Title: CycleIK: Neuro-inspired Inverse Kinematics Abstract: The paper introduces CycleIK, a neuro-robotic approach that wraps two novel neuro-inspired methods for the inverse kinematics (IK) task, a Generative Adversarial Network (GAN), and a Multi-Layer Perceptron architecture. These methods can be used in a standalon...	[ 35493 ]	Test
23,255	16	Title: Logical Implications for Visual Question Answering Consistency Abstract: Despite considerable recent progress in Visual Question Answering (VQA) models, inconsistent or contradictory answers continue to cast doubt on their true reasoning capabilities. However, most proposed methods use indirect strategies or str...	[]	Validation
23,256	3	Title: Teaching Computer Science Students to Communicate Scientific Findings More Effectively Abstract: Science communication forms the bridge between computer science researchers and their target audience. Researchers who can effectively draw attention to their research findings and communicate them comprehensibly not...	[]	Train
23,257	16	Title: Using Caterpillar to Nibble Small-Scale Images Abstract: Recently, MLP-based models have become popular and attained significant performance on medium-scale datasets (e.g., ImageNet-1k). However, their direct applications to small-scale images remain limited. To address this issue, we design a new MLP-based netw...	[]	Validation
23,258	3	Title: Conceptualizing A Multi-Sided Platform For Cloud Computing Resource Trading Abstract: Cost-effective and responsible use of cloud computing resources (CCR) is on the business agenda of many companies. Despite this strategic goal, two geopolitical strategy decisions mainly influence the continuous existence of ov...	[]	Test
23,259	16	Title: VR Facial Animation for Immersive Telepresence Avatars Abstract: VR Facial Animation is necessary in applications requiring clear view of the face, even though a VR headset is worn. In our case, we aim to animate the face of an operator who is controlling our robotic avatar system. We propose a real-time capable...	[ 32539, 23981, 44158, 11863 ]	Validation
23,260	28	Title: Deep Learning Based Predictive Beamforming Design Abstract: This paper investigates deep learning techniques to predict transmit beamforming based on only historical channel data without current channel information in the multiuser multiple-input-single-output downlink. This will significantly reduce the channel...	[]	Validation
23,261	13	Title: Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains Abstract: Quality-Diversity optimisation (QD) has proven to yield promising results across a broad set of applications. However, QD approaches struggle in the presence of uncertainty in the environment,...	[ 42292, 42359, 33006, 37567 ]	Train
23,262	31	Title: Unbiased Delayed Feedback Label Correction for Conversion Rate Prediction Abstract: Conversion rate prediction is critical to many online applications such as digital display advertising. To capture dynamic data distribution, industrial systems often require retraining models on recent data daily or weekly. Howe...	[]	Train
23,263	24	Title: Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws Abstract: Specifying reward functions for complex tasks like object manipulation or driving is challenging to do by hand. Reward learning seeks to address this by learning a reward model using human feedback on selected query polici...	[]	Test
23,264	10	Title: A Game-Theoretic Framework for Joint Forecasting and Planning Abstract: Planning safe robot motions in the presence of humans requires reliable forecasts of future human motion. However, simply predicting the most likely motion from prior interactions does not guarantee safety. Such forecasts fail to model the l...	[]	Validation
23,265	34	Title: Negative-Weight Single-Source Shortest Paths in Near-Linear Time: Now Faster! Abstract: In this work we revisit the fundamental Single-Source Shortest Paths (SSSP) problem with possibly negative edge weights. A recent breakthrough result by Bernstein, Nanongkai and Wulff-Nilsen established a near-linear $O(m \lo...	[ 8616, 15933 ]	Train
23,266	16	Title: Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping Abstract: Weakly-Supervised Concealed Object Segmentation (WSCOS) aims to segment objects well blended with surrounding environments using sparsely-annotated data for model training. It remains a chall...	[ 12704, 5864, 27866, 33098, 35263, 4812, 43087, 41008, 38612, 29270, 3066, 19835, 1151 ]	Train
23,267	16	Title: A Symbolic Character-Aware Model for Solving Geometry Problems Abstract: AI has made significant progress in solving math problems, but geometry problems remain challenging due to their reliance on both text and diagrams. In the text description, symbolic characters such as"$\triangle$ABC"often serve as a bridge...	[ 44121 ]	Validation
23,268	28	Title: Periodicity Analysis of the Logistic Map over Ring ℤ3n Abstract: Periodicity analysis of sequences generated by a deterministic system is a long-standing challenge in both theoretical research and engineering applications. To overcome the inevitable degradation of the logistic map on a finite-precision circuit, ...	[]	Train
23,269	24	Title: Latent State Models of Training Dynamics Abstract: The impact of randomness on model training is poorly understood. How do differences in data order and initialization actually manifest in the model, such that some training runs outperform others or converge faster? Furthermore, how can we interpret the resultin...	[ 38834 ]	Test
23,270	28	Title: Illegal Intelligent Reflecting Surface Based Active Channel Aging: When Jammer Can Attack Without Power and CSI Abstract: Illegal intelligent reflecting surfaces (I-IRSs), i.e., the illegal deployment and utilization of IRSs, impose serious harmful impacts on wireless networks. The existing I-IRS-based illegal j...	[]	Train
23,271	16	Title: Spiking-Fer: Spiking Neural Network for Facial Expression Recognition With Event Cameras Abstract: Facial Expression Recognition (FER) is an active research domain that has shown great progress recently, notably thanks to the use of large deep learning models. However, such approaches are particularly energy int...	[ 27662 ]	Train
23,272	24	Title: Stabilized Neural Differential Equations for Learning Constrained Dynamics Abstract: Many successful methods to learn dynamical systems from data have recently been introduced. However, assuring that the inferred dynamics preserve known constraints, such as conservation laws or restrictions on the allowed system...	[ 43082 ]	Validation
23,273	16	Title: Learning Behavior Recognition in Smart Classroom with Multiple Students Based on YOLOv5 Abstract: Deep learning-based computer vision technology has grown stronger in recent years, and cross-fertilization using computer vision technology has been a popular direction in recent years. The use of computer vision te...	[]	Train
23,274	4	Title: Attesting Distributional Properties of Training Data for Machine Learning Abstract: The success of machine learning (ML) has been accompanied by increased concerns about its trustworthiness. Several jurisdictions are preparing ML regulatory frameworks. One such concern is ensuring that model training data has de...	[]	Validation
23,275	4	Title: A Proxy-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks Abstract: Poisoning efficiency is a crucial factor in poisoning-based backdoor attacks. Attackers prefer to use as few poisoned samples as possible to achieve the same level of attack strength, in order to remain undetec...	[]	Validation
23,276	23	Title: A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges Abstract: The software engineering community recently has witnessed widespread deployment of AI programming assistants, such as GitHub Copilot. However, in practice, developers do not accept AI programming assistants' in...	[ 41537, 27563, 42735, 45362, 16052, 18772, 40187 ]	Train
23,277	30	Title: Revisiting non-English Text Simplification: A Unified Multilingual Benchmark Abstract: Recent advancements in high-quality, large-scale English resources have pushed the frontier of English Automatic Text Simplification (ATS) research. However, less work has been done on multilingual text simplification due to t...	[ 38904, 41442, 38931, 13455 ]	Validation

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