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
23,478	26	Title: Twitter Bots Influence on the Russo-Ukrainian War During the 2022 Italian General Elections Abstract: In February 2022, Russia launched a full-scale invasion of Ukraine. This event had global repercussions, especially on the political decisions of European countries. As expected, the role of Italy in the conflic...	[ 35456, 39978 ]	Train
23,479	4	Title: Password-Stealing without Hacking: Wi-Fi Enabled Practical Keystroke Eavesdropping Abstract: The contact-free sensing nature of Wi-Fi has been leveraged to achieve privacy breaches, yet existing attacks relying on Wi-Fi CSI (channel state information) demand hacking Wi-Fi hardware to obtain desired CSIs. Since s...	[ 41044 ]	Validation
23,480	24	Title: EM-Network: Oracle Guided Self-distillation for Sequence Learning Abstract: We introduce EM-Network, a novel self-distillation approach that effectively leverages target information for supervised sequence-to-sequence (seq2seq) learning. In contrast to conventional methods, it is trained with oracle guidance, wh...	[]	Train
23,481	23	Title: Literature Survey on how to cluster and define Living Labs, Real World Laboratories and similar research infrastructures Abstract: In today's world, where societal challenges in the areas of digitalization, demographic change and sustainability are becoming increasingly complex, new innovation structures are nee...	[]	Test
23,482	24	Title: Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures Abstract: The ability to learn continuously from an incoming data stream without catastrophic forgetting is critical to designing intelligent systems. Many approaches to continual learning rely on stochastic gradient descent and i...	[]	Test
23,483	16	Title: Generation of Realistic Synthetic Raw Radar Data for Automated Driving Applications using Generative Adversarial Networks Abstract: The main approaches for simulating FMCW radar are based on ray tracing, which is usually computationally intensive and do not account for background noise. This work proposes a fast...	[]	Train
23,484	30	Title: Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust Abstract: A fundamental question in natural language processing is - what kind of language structure and semantics is the language model capturing? Graph formats such as knowledge graphs are easy to evaluate as they explicitly express l...	[ 34881, 17127, 30026, 38381, 29458 ]	Train
23,485	24	Title: Pressmatch: Automated journalist recommendation for media coverage with Nearest Neighbor search Abstract: Slating a product for release often involves pitching journalists to run stories on your press release. Good media coverage often ensures greater product reach and drives audience engagement for those produc...	[]	Test
23,486	16	Title: MLP-SRGAN: A Single-Dimension Super Resolution GAN using MLP-Mixer Abstract: We propose a novel architecture called MLP-SRGAN, which is a single-dimension Super Resolution Generative Adversarial Network (SRGAN) that utilizes Multi-Layer Perceptron Mixers (MLP-Mixers) along with convolutional layers to upsample i...	[]	Train
23,487	23	Title: Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks Abstract: The deep feedforward neural networks (DNNs) are increasingly deployed in socioeconomic critical decision support software systems. DNNs are exceptionally good at finding min-imal, sufficient statistical patterns wit...	[ 8059 ]	Train
23,488	34	Title: Optimal FIFO grouping in public transit networks Abstract: This technical report is about grouping vehicles (so-called trips) in public transport into routes so that two vehicles of a route do not overtake each other. We say that such a set of routes satisfies the FIFO property. A natural question is: Given a se...	[]	Train
23,489	16	Title: Transferring Visual Attributes from Natural Language to Verified Image Generation Abstract: Text to image generation methods (T2I) are widely popular in generating art and other creative artifacts. While visual hallucinations can be a positive factor in scenarios where creativity is appreciated, such artifacts a...	[ 28532, 12764 ]	Validation
23,490	24	Title: Adaptive Sparse Gaussian Process Abstract: Adaptive learning is necessary for nonstationary environments where the learning machine needs to forget past data distribution. Efficient algorithms require a compact model update to not grow in computational burden with the incoming data and with the lowest possible c...	[]	Validation
23,491	31	Title: UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing Abstract: When doing private domain marketing with cloud services, the merchants usually have to purchase different machine learning models for the multiple marketing purposes, leading to a very high cost. We present a unif...	[]	Train
23,492	28	Title: LoRa Backscatter Communications: Temporal, Spectral, and Error Performance Analysis Abstract: LoRa backscatter (LB) communication systems can be considered as a potential candidate for ultra-low-power wide-area networks (LPWANs) because of their low cost and low power consumption. In this article, we comprehensi...	[]	Train
23,493	16	Title: RECLIP: Resource-efficient CLIP by Training with Small Images Abstract: We present RECLIP (Resource-efficient CLIP), a simple method that minimizes computational resource footprint for CLIP (Contrastive Language Image Pretraining). Inspired by the notion of coarse-to-fine in computer vision, we leverage small im...	[ 35, 40843, 34567 ]	Train
23,494	6	Title: Human Uncertainty in Concept-Based AI Systems Abstract: Placing a human in the loop may help abate the risks of deploying AI systems in safety-critical settings (e.g., a clinician working with a medical AI system). However, mitigating risks arising from human error and uncertainty within such human-AI interactio...	[ 12896, 29696, 610, 39217, 37371 ]	Validation
23,495	24	Title: LTC-SE: Expanding the Potential of Liquid Time-Constant Neural Networks for Scalable AI and Embedded Systems Abstract: We present LTC-SE, an improved version of the Liquid Time-Constant (LTC) neural network algorithm originally proposed by Hasani et al. in 2021. This algorithm unifies the Leaky-Integrate-and-Fir...	[ 5839 ]	Test
23,496	27	Title: Collision-Free Inverse Kinematics Through QP Optimization (iKinQP) Abstract: Robotic manipulators are often designed with more actuated degrees-of-freedom than required to fully control an end effector's position and orientation. These"redundant"manipulators can allow infinite joint configurations that satisfy a...	[ 36384 ]	Validation
23,497	30	Title: A Novel Self-training Approach for Low-resource Speech Recognition Abstract: In this paper, we propose a self-training approach for automatic speech recognition (ASR) for low-resource settings. While self-training approaches have been extensively developed and evaluated for high-resource languages such as Englis...	[]	Validation
23,498	30	Title: Textual Augmentation Techniques Applied to Low Resource Machine Translation: Case of Swahili Abstract: In this work we investigate the impact of applying textual data augmentation tasks to low resource machine translation. There has been recent interest in investigating approaches for training systems for langua...	[]	Test
23,499	24	Title: On the Detection and Quantification of Nonlinearity via Statistics of the Gradients of a Black-Box Model Abstract: Detection and identification of nonlinearity is a task of high importance for structural dynamics. Detecting nonlinearity in a structure, which has been designed to operate in its linear region, mig...	[]	Train
23,500	30	Title: Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler Abstract: We propose a neuralized undirected graphical model called Neural-Hidden-CRF to solve the weakly-supervised sequence labeling problem. Under the umbrella of undirected graphical theory, the proposed Neural-Hidden-CRF embedded with a hidden C...	[ 27562 ]	Validation
23,501	24	Title: On the Importance of Exploration for Generalization in Reinforcement Learning Abstract: Existing approaches for improving generalization in deep reinforcement learning (RL) have mostly focused on representation learning, neglecting RL-specific aspects such as exploration. We hypothesize that the agent's explorat...	[]	Train
23,502	30	Title: LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models Abstract: The success of large language models (LLMs), like GPT-3 and ChatGPT, has led to the development of numerous cost-effective and accessible alternatives that are created by fine-tuning open-access LLMs with task-...	[ 14592, 12706, 34563, 13700, 35099, 32176, 27282, 10163, 11476, 22547, 23924, 39733, 18777, 20409, 20797, 34910 ]	Train
23,503	16	Title: SeMLaPS: Real-time Semantic Mapping with Latent Prior Networks and Quasi-Planar Segmentation Abstract: The availability of real-time semantics greatly improves the core geometric functionality of SLAM systems, enabling numerous robotic and AR/VR applications. We present a new methodology for real-time semantic m...	[]	Train
23,504	16	Title: GDB: Gated convolutions-based Document Binarization Abstract: Document binarization is a key pre-processing step for many document analysis tasks. However, existing methods can not extract stroke edges finely, mainly due to the fair-treatment nature of vanilla convolutions and the extraction of stroke edges with...	[ 32909 ]	Test
23,505	27	Title: Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models Abstract: We present a framework for safety-critical optimal control of physical systems based on denoising diffusion probabilistic models (DDPMs). The technology of control barrier functions (CBFs), encoding desired safety ...	[]	Train
23,506	24	Title: FPTN: Fast Pure Transformer Network for Traffic Flow Forecasting Abstract: Traffic flow forecasting is challenging due to the intricate spatio-temporal correlations in traffic flow data. Existing Transformer-based methods usually treat traffic flow forecasting as multivariate time series (MTS) forecasting. Howev...	[]	Validation
23,507	20	Title: NervePool: A Simplicial Pooling Layer Abstract: For deep learning problems on graph-structured data, pooling layers are important for down sampling, reducing computational cost, and to minimize overfitting. We define a pooling layer, NervePool, for data structured as simplicial complexes, which are generalizatio...	[ 41327 ]	Train
23,508	30	Title: Which Argumentative Aspects of Hate Speech in Social Media can be reliably identified? Abstract: With the increasing diversity of use cases of large language models, a more informative treatment of texts seems necessary. An argumentative analysis could foster a more reasoned usage of chatbots, text completion me...	[]	Validation
23,509	23	Title: Multilevel Semantic Embedding of Software Patches: A Fine-to-Coarse Grained Approach Towards Security Patch Detection Abstract: The growth of open-source software has increased the risk of hidden vulnerabilities that can affect downstream software applications. This concern is further exacerbated by software ven...	[]	Test
23,510	6	Title: Making an agent's trust stable in a series of success and failure tasks through empathy Abstract: As AI technology develops, trust in AI agents is becoming more important for more AI applications in human society. Possible ways to improve the trust relationship include empathy, success-failure series, and capabi...	[ 37853 ]	Train
23,511	24	Title: SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning Abstract: Clinical trials are essential to drug development but time-consuming, costly, and prone to failure. Accurate trial outcome prediction based on historical trial data promises better trial investment decisions and more tria...	[ 10224, 30162, 36978 ]	Validation
23,512	30	Title: Local Large Language Models for Complex Structured Medical Tasks Abstract: This paper introduces an approach that combines the language reasoning capabilities of large language models (LLMs) with the benefits of local training to tackle complex, domain-specific tasks. Specifically, the authors demonstrate their ...	[ 1923, 13700, 36547, 43566, 44272, 12753, 31189, 43641, 9403, 29725 ]	Train
23,513	16	Title: NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization Abstract: Monocular 3D object localization in driving scenes is a crucial task, but challenging due to its ill-posed nature. Estimating 3D coordinates for each pixel on the object surface holds great potential as it provides dense 2D-3D geomet...	[ 36257, 23972 ]	Train
23,514	20	Title: Minimum Coverage by Convex Polygons: The CG: SHOP Challenge 2023 Abstract: We give an overview of the 2023 Computational Geometry Challenge targeting the problem Minimum Coverage by Convex Polygons, which consists of covering a given polygonal region (possibly with holes) by a minimum number of convex subsets, a...	[ 27584 ]	Validation
23,515	30	Title: On Robustness of Finetuned Transformer-based NLP Models Abstract: Transformer-based pretrained models like BERT, GPT-2 and T5 have been finetuned for a large number of natural language processing (NLP) tasks, and have been shown to be very effective. However, while finetuning, what changes across layers in these...	[]	Validation
23,516	4	Title: Exploring Security Practices in Infrastructure as Code: An Empirical Study Abstract: Cloud computing has become popular thanks to the widespread use of Infrastructure as Code (IaC) tools, allowing the community to conveniently manage and configure cloud infrastructure using scripts. However, the scripting proces...	[]	Test
23,517	16	Title: Releasing Inequality Phenomena in L∞-Adversarial Training via Input Gradient Distillation Abstract: Since adversarial examples appeared and showed the catastrophic degradation they brought to DNN, many adversarial defense methods have been devised, among which adversarial training is considered the most effectiv...	[]	Train
23,518	6	Title: Virtual Reality Sickness Reduces Attention During Immersive Experiences Abstract: In this paper, we show that Virtual Reality (VR) sickness is associated with a reduction in attention, which was detected with the P3b Event-Related Potential (ERP) component from electroencephalography (EEG) measurements collected...	[]	Train
23,519	8	Title: Enhancement of Satellite-to-Phone Link Budget by Using Distributed Beamforming Abstract: Small satellites in Low Earth Orbit (LEO) attract much attention from both industry and academia. The latest production and launch technologies constantly drive the development of LEO constellations. However, the wideband si...	[]	Train
23,520	10	Title: Towards a Benchmark for Scientific Understanding in Humans and Machines Abstract: Scientific understanding is a fundamental goal of science, allowing us to explain the world. There is currently no good way to measure the scientific understanding of agents, whether these be humans or Artificial Intelligence syste...	[ 13510 ]	Train
23,521	16	Title: Semantic Feature Integration network for Fine-grained Visual Classification Abstract: Fine-Grained Visual Classification (FGVC) is known as a challenging task due to subtle differences among subordinate categories. Many current FGVC approaches focus on identifying and locating discriminative regions by using the...	[]	Train
23,522	10	Title: A Unified One-Step Solution for Aspect Sentiment Quad Prediction Abstract: Aspect sentiment quad prediction (ASQP) is a challenging yet significant subtask in aspect-based sentiment analysis as it provides a complete aspect-level sentiment structure. However, existing ASQP datasets are usually small and low-dens...	[]	Train
23,523	23	Title: Seeding Contradiction: a fast method for generating full-coverage test suites Abstract: The regression test suite, a key resource for managing program evolution, needs to achieve 100% coverage, or very close, to be useful. Devising a test suite manually is unacceptably tedious, but existing automated methods are...	[ 8135 ]	Test
23,524	16	Title: MaGIC: Multi-modality Guided Image Completion Abstract: The vanilla image completion approaches are sensitive to the large missing regions due to limited available reference information for plausible generation. To mitigate this, existing methods incorporate the extra cue as a guidance for image completion. Desp...	[ 21152, 6145, 3690, 34074, 18284, 24494, 15983, 18586, 3067 ]	Test
23,525	8	Title: Near-optimal stochastic MIMO signal detection with a mixture of t-distribution prior Abstract: Multiple-input multiple-output (MIMO) systems will play a crucial role in future wireless communication, but improving their signal detection performance to increase transmission efficiency remains a challenge. To addr...	[]	Train
23,526	30	Title: RepCL: Exploring Effective Representation for Continual Text Classification Abstract: Continual learning (CL) aims to constantly learn new knowledge over time while avoiding catastrophic forgetting on old tasks. In this work, we focus on continual text classification under the class-incremental setting. Recent C...	[ 6977, 19671 ]	Train
23,527	24	Title: TSMixer: An all-MLP Architecture for Time Series Forecasting Abstract: Real-world time-series datasets are often multivariate with complex dynamics. To capture this complexity, high capacity architectures like recurrent- or attention-based sequential deep learning models have become popular. However, recent work...	[ 39898, 32835, 26788, 36791 ]	Train
23,528	36	Title: Beyond Strict Competition: Approximate Convergence of Multi Agent Q-Learning Dynamics Abstract: The behaviour of multi-agent learning in competitive settings is often considered under the restrictive assumption of a zero-sum game. Only under this strict requirement is the behaviour of learning well understood; b...	[]	Test
23,529	30	Title: EmotionIC: Emotional Inertia and Contagion-driven Dependency Modelling for Emotion Recognition in Conversation Abstract: Emotion Recognition in Conversation (ERC) has attracted growing attention in recent years as a result of the advancement and implementation of human-computer interface technologies. In this pa...	[]	Train
23,530	4	Title: FedChain: An Efficient and Secure Consensus Protocol based on Proof of Useful Federated Learning for Blockchain Abstract: Blockchain has become a popular decentralized paradigm for various applications in the zero-trust environment. The core of the blockchain is the consensus protocol, which establishes consensu...	[]	Validation
23,531	16	Title: Learning multi-scale local conditional probability models of images Abstract: Deep neural networks can learn powerful prior probability models for images, as evidenced by the high-quality generations obtained with recent score-based diffusion methods. But the means by which these networks capture complex global ...	[ 36457, 44610 ]	Validation
23,532	25	Title: CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking Abstract: Time delay neural network (TDNN) has been proven to be efficient for speaker verification. One of its successful variants, ECAPA-TDNN, achieved state-of-the-art performance at the cost of much higher computational ...	[ 29130 ]	Test
23,533	2	Title: Fast Approximations of Quantifier Elimination Abstract: Quantifier elimination (qelim) is used in many automated reasoning tasks including program synthesis, exist-forall solving, quantified SMT, Model Checking, and solving Constrained Horn Clauses (CHCs). Exact qelim is computationally expensive. Hence, it is o...	[]	Validation
23,534	25	Title: A Survey of AI Music Generation Tools and Models Abstract: In this work, we provide a comprehensive survey of AI music generation tools, including both research projects and commercialized applications. To conduct our analysis, we classified music generation approaches into three categories: parameter-based, tex...	[ 35800, 13186, 40667, 15628 ]	Validation
23,535	24	Title: Dodging the Sparse Double Descent Abstract: This paper presents an approach to addressing the issue of over-parametrization in deep neural networks, more specifically by avoiding the ``sparse double descent'' phenomenon. The authors propose a learning framework that allows avoidance of this phenomenon and improv...	[ 3572, 17518 ]	Validation
23,536	24	Title: Wasserstein Projection Pursuit of Non-Gaussian Signals Abstract: We consider the general dimensionality reduction problem of locating in a high-dimensional data cloud, a $k$-dimensional non-Gaussian subspace of interesting features. We use a projection pursuit approach -- we search for mutually orthogonal unit d...	[]	Train
23,537	28	Title: Maxflow-Based Bounds for Low-Rate Information Propagation over Noisy Networks Abstract: We study error exponents for the problem of low-rate communication over a directed graph, where each edge in the graph represents a noisy communication channel, and there is a single source and destination. We derive maxflow-...	[]	Validation
23,538	27	Title: A novel tactile palm for robotic object manipulation Abstract: Tactile sensing is of great importance during human hand usage such as object exploration, grasping and manipulation. Different types of tactile sensors have been designed during the past decades, which are mainly focused on either the fingertips for...	[]	Validation
23,539	16	Title: Vision-Based Autonomous Navigation for Unmanned Surface Vessel in Extreme Marine Conditions Abstract: Visual perception is an important component for autonomous navigation of unmanned surface vessels (USV), particularly for the tasks related to autonomous inspection and tracking. These tasks involve vision-based...	[]	Train
23,540	24	Title: Synthcity: facilitating innovative use cases of synthetic data in different data modalities Abstract: Synthcity is an open-source software package for innovative use cases of synthetic data in ML fairness, privacy and augmentation across diverse tabular data modalities, including static data, regular and irregul...	[ 38628, 28393, 2927, 2195, 4117, 39134 ]	Test
23,541	27	Title: Gait design for limbless obstacle aided locomotion using geometric mechanics Abstract: Limbless robots have the potential to maneuver through cluttered environments that conventional robots cannot traverse. As illustrated in their biological counterparts such as snakes and nematodes, limbless locomotors can bene...	[]	Train
23,542	27	Title: Failure Detection and Fault Tolerant Control of a Jet-Powered Flying Humanoid Robot Abstract: Failure detection and fault tolerant control are fundamental safety features of any aerial vehicle. With the emer-gence of complex, multi-body flying systems such as jet-powered humanoid robots, it becomes of crucial im...	[]	Train
23,543	30	Title: SALTTS: Leveraging Self-Supervised Speech Representations for improved Text-to-Speech Synthesis Abstract: While FastSpeech2 aims to integrate aspects of speech such as pitch, energy, and duration as conditional inputs, it still leaves scope for richer representations. As a part of this work, we leverage represen...	[]	Train
23,544	2	Title: Real Equation Systems with Alternating Fixed-points (full version with proofs) Abstract: We introduce the notion of a Real Equation System (RES), which lifts Boolean Equation Systems (BESs) to the domain of extended real numbers. Our RESs allow arbitrary nesting of least and greatest fixed-point operators. We sh...	[]	Validation
23,545	16	Title: ImageBind One Embedding Space to Bind Them All Abstract: We present ImageBind, an approach to learn a joint embedding across six different modalities - images, text, audio, depth, thermal, and IMU data. We show that all combinations of paired data are not necessary to train such a joint embedding, and only image...	[ 17281, 8084, 8854, 43415, 45465, 25754, 4251, 46107, 30745, 28827, 24607, 42270, 21666, 36774, 4007, 11815, 37799, 42794, 16685, 7732, 15541, 20660, 19263, 9155, 15683, 23236, 4166, 8903, 41798, 14281, 25929, 5584, 13264, 9810, 30162, 4565, 171...	Train
23,546	16	Title: Does Saliency-Based Training bring Robustness for Deep Neural Networks in Image Classification? Abstract: Deep Neural Networks are powerful tools to understand complex patterns and making decisions. However, their black-box nature impedes a complete understanding of their inner workings. While online saliency-gu...	[]	Train
23,547	16	Title: Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics Abstract: Recently, long-tailed image classification harvests lots of research attention, since the data distribution is long-tailed in many real-world situations. Piles of algorithms are devised to address the data im...	[ 40738, 33523 ]	Train
23,548	26	Title: A Constraints Fusion-induced Symmetric Nonnegative Matrix Factorization Approach for Community Detection Abstract: Community is a fundamental and critical characteristic of an undirected social network, making community detection be a vital yet thorny issue in network representation learning. A symmetric and non...	[ 1485 ]	Train
23,549	10	Title: A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation Abstract: Vehicle Energy Consumption (VEC) estimation aims to predict the total energy required for a given trip before it starts, which is of great importance to trip planning and transportation sustainability....	[]	Train
23,550	23	Title: The Inversive Relationship Between Bugs and Patches: An Empirical Study Abstract: Software bugs1 pose an ever-present concern for developers, and patching such bugs requires a considerable amount of costs through complex operations. In contrast, introducing bugs can be an effortless job, in that even a simple mu...	[]	Validation
23,551	15	Title: ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications Abstract: End-to-end event-based computation has the poten-tial to push the envelope in latency and energy efficiency for edge AI applications. U...	[ 8361, 18213 ]	Train
23,552	16	Title: Convolutional Cross-View Pose Estimation Abstract: We propose a novel end-to-end method for cross-view pose estimation. Given a ground-level query image and an aerial image that covers the query's local neighborhood, the 3 Degrees-of-Freedom camera pose of the query is estimated by matching its image descriptor ...	[ 8746, 20314, 34997 ]	Validation
23,553	16	Title: Unsupervised Multi-view Pedestrian Detection Abstract: With the prosperity of the video surveillance, multiple visual sensors have been applied for an accurate localization of pedestrians in a specific area, which facilitate various applications like intelligent safety or new retailing. However, previous methods...	[ 24600, 4643 ]	Train
23,554	16	Title: Gradient Domain Diffusion Models for Image Synthesis Abstract: Diffusion models are getting popular in generative image and video synthesis. However, due to the diffusion process, they require a large number of steps to converge. To tackle this issue, in this paper, we propose to perform the diffusion process in...	[ 40192, 32713, 9741, 4111, 27282 ]	Train
23,555	16	Title: Self-Learning Symmetric Multi-view Probabilistic Clustering Abstract: Multi-view Clustering (MVC) has achieved significant progress, with many efforts dedicated to learn knowledge from multiple views. However, most existing methods are either not applicable or require additional steps for incomplete MVC. Such a ...	[]	Train
23,556	36	Title: On Supermodular Contracts and Dense Subgraphs Abstract: We study the combinatorial contract design problem, introduced and studied by Dutting et. al. (2021, 2022), in both the single and multi-agent settings. Prior work has examined the problem when the principal's utility function is submodular in the actions c...	[ 29543 ]	Validation
23,557	30	Title: Putting Humans in the Image Captioning Loop Abstract: Image Captioning (IC) models can highly benefit from human feedback in the training process, especially in cases where data is limited. We present work-in-progress on adapting an IC system to integrate human feedback, with the goal to make it easily adaptable...	[]	Validation
23,558	31	Title: Enhancing Documents with Multidimensional Relevance Statements in Cross-encoder Re-ranking Abstract: In this paper, we propose a novel approach to consider multiple dimensions of relevance beyond topicality in cross-encoder re-ranking. On the one hand, current multidimensional retrieval models often use na\"ive ...	[ 19702 ]	Test
23,559	30	Title: Rethinking Machine Ethics - Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? Abstract: Making moral judgments is an essential step toward developing ethical AI systems. Prevalent approaches are mostly implemented in a bottom-up manner, which uses a large set of annotated data to train models ...	[ 21794, 8580, 33220, 13510, 28905, 26843 ]	Train
23,560	16	Title: S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning Abstract: nan	[ 20738, 31523, 41381, 3920, 10783 ]	Test
23,561	16	Title: Efficient and Deterministic Search Strategy Based on Residual Projections for Point Cloud Registration Abstract: Estimating the rigid transformation between two LiDAR scans through putative 3D correspondences is a typical point cloud registration paradigm. Current 3D feature matching approaches commonly lead to ...	[]	Test
23,562	26	Title: Do you cite what you tweet? Investigating the relationship between tweeting and citing research articles Abstract: The last decade of altmetrics research has demonstrated that altmetrics have a low to moderate correlation with citations, depending on the platform and the discipline, among other factors. Most pas...	[]	Train
23,563	16	Title: Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models Abstract: Latent Diffusion Models (LDMs) enable high-quality image synthesis while avoiding excessive compute demands by training a diffusion model in a compressed lower-dimensional latent space. Here, we apply the LDM paradigm to h...	[ 4738, 44549, 14086, 45318, 36741, 22921, 20110, 40979, 9364, 16404, 2583, 10136, 6687, 42272, 15393, 19618, 26145, 1318, 38696, 12841, 39340, 7597, 25006, 19378, 39730, 20666, 36286, 43328, 13505, 25666, 35394, 11077, 1874, 12116, 14036, 33621, ...	Test
23,564	16	Title: Mobile Vision Transformer-based Visual Object Tracking Abstract: The introduction of robust backbones, such as Vision Transformers, has improved the performance of object tracking algorithms in recent years. However, these state-of-the-art trackers are computationally expensive since they have a large number of ...	[ 26484 ]	Train
23,565	3	Title: Ethics in conversation: Building an ethics assurance case for autonomous AI-enabled voice agents in healthcare Abstract: The deployment and use of AI systems should be both safe and broadly ethically acceptable. The principles-based ethics assurance argument pattern is one proposal in the AI ethics landscape tha...	[]	Train
23,566	13	Title: A Surrogate-Assisted Highly Cooperative Coevolutionary Algorithm for Hyperparameter Optimization in Deep Convolutional Neural Network Abstract: Convolutional neural networks (CNNs) have gained remarkable success in recent years. However, their performance highly relies on the architecture hyperparameters, and fi...	[]	Train
23,567	30	Title: Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind Abstract: Dialogue participants may have varying levels of knowledge about the topic under discussion. In such cases, it is essential for speakers to adapt their utterances by taking their audience into account. Ye...	[]	Train
23,568	26	Title: Identification of an influence network using ensemble-based filtering for Hawkes processes driven by count data Abstract: nan	[]	Validation
23,569	30	Title: What, When, and How to Ground: Designing User Persona-Aware Conversational Agents for Engaging Dialogue Abstract: This paper presents a method for building a personalized open-domain dialogue system to address the WWH (WHAT, WHEN, and HOW) problem for natural response generation in a commercial setting, where pe...	[]	Train
23,570	16	Title: Universal Instance Perception as Object Discovery and Retrieval Abstract: All instance perception tasks aim at finding certain objects specified by some queries such as category names, language expressions, and target annotations, but this complete field has been split into multiple independent sub-tasks. In thi...	[ 25222, 9622, 26109, 44197, 28592, 4788, 9657, 33724, 23619, 6729, 27860, 41688, 26720, 17633, 34532, 3951, 13935, 26484, 31225, 381 ]	Train
23,571	16	Title: Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks Abstract: In this paper, we propose a novel layer-adaptive weight-pruning approach for Deep Neural Networks (DNNs) that addresses the challenge of optimizing the output distortion minimization while adhering to a target pruning...	[]	Train
23,572	16	Title: Source Camera Identification and Detection in Digital Videos through Blind Forensics Abstract: Source camera identification in digital videos is the problem of associating an unknown digital video with its source device, within a closed set of possible devices. The existing techniques in source detection of digi...	[]	Validation
23,573	26	Title: Chromatic Community Structure Detection Abstract: The detection of community structure is probably one of the hottest trends in complex network research as it reveals the internal organization of people, molecules or processes behind social, biological or computer networks\dots The issue is to provide a network ...	[]	Train
23,574	28	Title: Fully Private Grouped Matrix Multiplication with Colluding Workers Abstract: In this paper, we present a novel variation of the coded matrix multiplication problem which we refer to as fully private grouped matrix multiplication (FPGMM). In FPGMM, a master wants to compute a group of matrix products between two ...	[]	Train
23,575	16	Title: Learning Customized Visual Models with Retrieval-Augmented Knowledge Abstract: Image-text contrastive learning models such as CLIP have demonstrated strong task transfer ability. The high generality and usability of these visual models is achieved via a web-scale data collection process to ensure broad concept c...	[ 36611, 37321, 15891, 15187, 45973, 46197, 43544, 41146, 41918 ]	Train
23,576	22	Title: Colored E-Graph: Equality Reasoning with Conditions Abstract: E-graphs are a prominent data structure that has been increasing in popularity in recent years due to their expanding range of applications in various formal reasoning tasks. Often, they are used for equality saturation, a process of deriving conseque...	[ 4248 ]	Train
23,577	24	Title: Rethinking k-means from manifold learning perspective Abstract: Although numerous clustering algorithms have been developed, many existing methods still leverage k-means technique to detect clusters of data points. However, the performance of k-means heavily depends on the estimation of centers of clusters, whic...	[]	Train

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