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
33,178	16	Title: ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models Abstract: Colonoscopy analysis, particularly automatic polyp segmentation and detection, is essential for assisting clinical diagnosis and treatment. However, as medical image annotation is labour- and resource-intensive, the ...	[ 33098 ]	Train
33,179	30	Title: In-context Example Selection with Influences Abstract: In-context learning (ICL) is a powerful paradigm emerged from large language models (LLMs). Despite its promises, ICL performance is known to be highly sensitive to input examples. In this work, we use $\textit{in-context influences}$ to analyze few-shot ICL...	[ 13700, 10165, 43327 ]	Test
33,180	24	Title: Unsupervised Manifold Linearizing and Clustering Abstract: We consider the problem of simultaneously clustering and learning a linear representation of data lying close to a union of low-dimensional manifolds, a fundamental task in machine learning and computer vision. When the manifolds are assumed to be linear...	[ 43671, 4063, 16596, 1423 ]	Train
33,181	37	Title: An Ontology-based Collaborative Business Intelligence Framework Abstract: Business Intelligence constitutes a set of methodologies and tools aiming at querying, reporting, on-line analytic processing (OLAP), generating alerts, performing business analytics, etc. When in need to perform these tasks collectively b...	[]	Train
33,182	37	Title: From Database Repairs to Causality in Databases and Beyond Abstract: We describe some recent approaches to score-based explanations for query answers in databases. The focus is on work done by the author and collaborators. Special emphasis is placed on the use of counterfactual reasoning for score specification ...	[ 29012, 38975 ]	Train
33,183	8	Title: Cell-Free mMIMO Support in the O-RAN Architecture: A PHY Layer Perspective for 5G and Beyond Networks Abstract: To keep supporting next-generation requirements, the radio access infrastructure will increasingly densify. Cell-free (CF) network architectures are emerging, combining dense deployments with extreme f...	[ 4920, 19097 ]	Validation
33,184	16	Title: Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization Abstract: Recognizing elementary underlying concepts from observations (disentanglement) and generating novel combinations of these concepts (compositional generalization) are fundamental abilities for humans to s...	[]	Train
33,185	27	Title: mBEST: Realtime Deformable Linear Object Detection Through Minimal Bending Energy Skeleton Pixel Traversals Abstract: Robotic manipulation of deformable materials is a challenging task that often requires realtime visual feedback. This is especially true for deformable linear objects (DLOs) or “rods”, whose slen...	[ 9070 ]	Train
33,186	30	Title: Legal Extractive Summarization of U.S. Court Opinions Abstract: This paper tackles the task of legal extractive summarization using a dataset of 430K U.S. court opinions with key passages annotated. According to automated summary quality metrics, the reinforcement-learning-based MemSum model is best and even out...	[]	Train
33,187	16	Title: αSurf: Implicit Surface Reconstruction for Semi-Transparent and Thin Objects with Decoupled Geometry and Opacity Abstract: Implicit surface representations such as the signed distance function (SDF) have emerged as a promising approach for image-based surface reconstruction. However, existing optimization method...	[ 17075, 26876 ]	Test
33,188	31	Title: MPTopic: Improving topic modeling via Masked Permuted pre-training Abstract: Topic modeling is pivotal in discerning hidden semantic structures within texts, thereby generating meaningful descriptive keywords. While innovative techniques like BERTopic and Top2Vec have recently emerged in the forefront, they mani...	[]	Train
33,189	36	Title: The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations Abstract: We study the problem of regret minimization for a single bidder in a sequence of first-price auctions where the bidder knows the item's value only if the auction is won. Our main contribution is a complete characterizatio...	[ 38987 ]	Validation
33,190	24	Title: Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions Abstract: Learning distance functions between complex objects, such as the Wasserstein distance to compare point sets, is a common goal in machine learning applications. However, funct...	[]	Train
33,191	27	Title: FMCW Radar Sensing for Indoor Drones Using Learned Representations Abstract: Frequency-modulated continuous-wave (FMCW) radar is a promising sensor technology for indoor drones as it provides range, angular as well as Doppler-velocity information about obstacles in the environment. Recently, deep learning approa...	[]	Test
33,192	2	Title: Gödel-Dummett linear temporal logic Abstract: We investigate a version of linear temporal logic whose propositional fragment is G\"odel-Dummett logic (which is well known both as a superintuitionistic logic and a t-norm fuzzy logic). We define the logic using two natural semantics: first a real-valued semantics,...	[]	Train
33,193	24	Title: Why Clean Generalization and Robust Overfitting Both Happen in Adversarial Training Abstract: Adversarial training is a standard method to train deep neural networks to be robust to adversarial perturbation. Similar to surprising $\textit{clean generalization}$ ability in the standard deep learning setting, neur...	[]	Test
33,194	6	Title: Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders Abstract: With the heightened digitization of the workplace, alongside the rise of remote and hybrid work prompted by the pandemic, there is growing corporate interest in using passive sensing technologies ...	[ 31391 ]	Train
33,195	10	Title: System Theoretic View on Uncertainties Abstract: The complexity of the operating environment and required technologies for highly automated driving is unprecedented. A different type of threat to safe operation besides the fault-error-failure model by Laprie et al. arises in the form of performance limitations. ...	[ 41152 ]	Train
33,196	16	Title: That's What I Said: Fully-Controllable Talking Face Generation Abstract: The goal of this paper is to synthesise talking faces with controllable facial motions. To achieve this goal, we propose two key ideas. The first is to establish a canonical space where every face has the same motion patterns but different ...	[ 14507, 15535 ]	Validation
33,197	27	Title: Applying Learning-from-observation to household service robots: three common-sense formulation Abstract: Utilizing a robot in a new application requires the robot to be programmed at each time. To reduce such programmings efforts, we have been developing ``Learning-from-observation (LfO)'' that automatically gen...	[ 44010, 22115 ]	Train
33,198	4	Title: DAP: A Dynamic Adversarial Patch for Evading Person Detectors Abstract: In this paper, we present a novel approach for generating naturalistic adversarial patches without using GANs. Our proposed approach generates a Dynamic Adversarial Patch (DAP) that looks naturalistic while maintaining high attack efficiency...	[ 30817, 11443, 29471 ]	Train
33,199	30	Title: A Survey on Out-of-Distribution Evaluation of Neural NLP Models Abstract: Adversarial robustness, domain generalization and dataset biases are three active lines of research contributing to out-of-distribution (OOD) evaluation on neural NLP models. However, a comprehensive, integrated discussion of the three ...	[ 10672, 12602, 8436 ]	Train
33,200	24	Title: Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework Abstract: The Long-Tailed Recognition (LTR) problem emerges in the context of learning from highly imbalanced datasets, in which the number of samples among different classes is heavily skewed. LTR methods aim to accurately learn ...	[]	Train
33,201	5	Title: DPA Load Balancer: Load balancing for Data Parallel Actor-based systems Abstract: In this project we explore ways to dynamically load balance actors in a streaming framework. This is used to address input data skew that might lead to stragglers. We continuously monitor actors' input queue lengths for load, and r...	[]	Test
33,202	24	Title: Federated Learning as a Network Effects Game Abstract: Federated Learning (FL) aims to foster collaboration among a population of clients to improve the accuracy of machine learning without directly sharing local data. Although there has been rich literature on designing federated learning algorithms, most prior...	[ 19695 ]	Test
33,203	16	Title: Learning Prototype Classifiers for Long-Tailed Recognition Abstract: The problem of long-tailed recognition (LTR) has received attention in recent years due to the fundamental power-law distribution of objects in the real-world. Most recent works in LTR use softmax classifiers that are biased in that they correl...	[]	Train
33,204	2	Title: Definitions and (Uniform) Interpolants in First-Order Modal Logic Abstract: We first consider two decidable fragments of quantified modal logic S5: the one-variable fragment and its extension S5ALC that combines S5 and the description logic ALC with the universal role. As neither of them enjoys Craig interpolati...	[]	Train
33,205	27	Title: Enhancing Causal Discovery from Robot Sensor Data in Dynamic Scenarios Abstract: Identifying the main features and learning the causal relationships of a dynamic system from time-series of sensor data are key problems in many real-world robot applications. In this paper, we propose an extension of a state-of-the...	[ 29547 ]	Train
33,206	27	Title: Accurate Gaussian Process Distance Fields with applications to Echolocation and Mapping Abstract: This paper introduces a novel method to estimate distance fields from noisy point clouds using Gaussian Process (GP) regression. Distance fields, or distance functions, gained popularity for applications like point ...	[ 6727 ]	Train
33,207	24	Title: Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation Abstract: In this paper, we present a novel approach for distilling math word problem solving capabilities from large language models (LLMs) into smaller, more efficient student models. Our approach is designed to con...	[ 46161, 29419, 34451, 31431 ]	Train
33,208	16	Title: Free Lunch for Gait Recognition: A Novel Relation Descriptor Abstract: Gait recognition is to seek correct matches for query individuals by their unique walking patterns. However, current methods focus solely on extracting individual-specific features, overlooking inter-personal relationships. In this paper, we ...	[ 14596, 8619, 17776, 24402, 17655, 9083 ]	Validation
33,209	24	Title: Fluid Property Prediction Leveraging AI and Robotics Abstract: Inferring liquid properties from vision is a challenging task due to the complex nature of fluids, both in behavior and detection. Nevertheless, the ability to infer their properties directly from visual information is highly valuable for autonomous ...	[ 29600, 15779 ]	Train
33,210	23	Title: A Preliminary Evaluation of LLM-Based Fault Localization Abstract: Large Language Models (LLMs) have shown a surprising level of performance on multiple software engineering problems. However, they have not yet been applied to Fault Localization (FL), in which one must find the code element responsible for a bug...	[ 9184, 34336, 21379, 37742, 43471, 36159 ]	Train
33,211	24	Title: Improved Distribution Matching for Dataset Condensation Abstract: Dataset Condensation aims to condense a large dataset into a smaller one while maintaining its ability to train a well-performing model, thus reducing the storage cost and training effort in deep learning applications. However, conventional datase...	[]	Train
33,212	16	Title: Deep Learning for Iris Recognition: A Review Abstract: Iris recognition is a secure biometric technology known for its stability and privacy. With no two irises being identical and little change throughout a person's lifetime, iris recognition is considered more reliable and less susceptible to external factors ...	[]	Train
33,213	24	Title: Improved Projection-free Online Continuous Submodular Maximization Abstract: We investigate the problem of online learning with monotone and continuous DR-submodular reward functions, which has received great attention recently. To efficiently handle this problem, especially in the case with complicated decision...	[]	Validation
33,214	28	Title: UAV Trajectory Optimization and Tracking for User Localization in Wireless Networks Abstract: In this paper, we investigate the problem of UAV-aided user localization in wireless networks. Unlike the existing works, we do not assume perfect knowledge of the UAV location, hence we not only need to localize the us...	[]	Test
33,215	16	Title: Self2Self+: Single-Image Denoising with Self-Supervised Learning and Image Quality Assessment Loss Abstract: Recently, denoising methods based on supervised learning have exhibited promising performance. However, their reliance on external datasets containing noisy-clean image pairs restricts their applicability...	[]	Train
33,216	4	Title: A Survey of Multivariate Polynomial Commitment Schemes Abstract: A commitment scheme is a cryptographic tool that allows one to commit to a hidden value, with the option to open it later at requested places without revealing the secret itself. Commitment schemes have important applications in zero-knowledge proo...	[]	Train
33,217	4	Title: Multi-Factor Credential Hashing for Asymmetric Brute-Force Attack Resistance Abstract: Since the introduction of bcrypt in 1999, adaptive password hashing functions, whereby brute-force resistance increases symmetrically with computational difficulty for legitimate users, have been our most powerful post-breach ...	[]	Train
33,218	16	Title: Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation Abstract: This paper presents a novel end-to-end framework with Explicit box Detection for multi-person Pose estimation, called ED-Pose, where it unifies the contextual learning between human-level (global) and keypoint-level (local) informat...	[ 24775, 19079, 23914, 41169, 18514, 36850, 21206 ]	Test
33,219	8	Title: DietTopp: A first implementation and evaluation of a simplified bandwidth measurement method Abstract: This paper describes the active available bandwidth measurement tool DietTopp. It measures the available bandwidth and the link capacity on an end-toend path having one bottleneck link. DietTopp is based on a s...	[]	Validation
33,220	30	Title: GPT-4 Technical Report Abstract: We report the development of GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs. While less capable than humans in many real-world scenarios, GPT-4 exhibits human-level performance on various professional and academic benchmarks...	[ 5, 16389, 43014, 34826, 6155, 26635, 20493, 14350, 28687, 8210, 22547, 20502, 20507, 24605, 38948, 39, 8231, 30759, 18476, 43060, 2103, 10295, 58, 32831, 41029, 4166, 8264, 2122, 14410, 20555, 24653, 30795, 45131, 36948, 6237, 34910, 43103, 3...	Train
33,221	10	Title: The Optimal Choice of Hypothesis Is the Weakest, Not the Shortest Abstract: If $A$ and $B$ are sets such that $A \subset B$, generalisation may be understood as the inference from $A$ of a hypothesis sufficient to construct $B$. One might infer any number of hypotheses from $A$, yet only some of those may genera...	[ 28425, 42492, 7870 ]	Train
33,222	16	Title: Adaptive Spot-Guided Transformer for Consistent Local Feature Matching Abstract: Local feature matching aims at finding correspondences between a pair of images. Although current detector-free methods leverage Transformer architecture to obtain an impressive performance, few works consider maintaining local cons...	[ 39137, 18482, 43284, 36856, 42522 ]	Validation
33,223	28	Title: Performance Analysis of RIS-Aided Space Shift Keying With Channel Estimation Errors Abstract: In this paper, we investigate the reconfigurable intelligent surface (RIS) assisted space shift keying (SSK) downlink communication systems under the imperfect channel state information (CSI), where the channel between ...	[ 14348, 4469, 18863 ]	Train
33,224	24	Title: Structural hierarchical learning for energy networks Abstract: Many sectors nowadays require accurate and coherent predictions across their organization to effectively operate. Otherwise, decision-makers would be planning using disparate views of the future, resulting in inconsistent decisions across their secto...	[ 41525 ]	Validation
33,225	16	Title: Neural Intrinsic Embedding for Non-Rigid Point Cloud Matching Abstract: As a primitive 3D data representation, point clouds are prevailing in 3D sensing, yet short of intrinsic structural information of the underlying objects. Such discrepancy poses great challenges in directly establishing correspondences betwe...	[]	Train
33,226	1	Title: Blind Omnidirectional Image Quality Assessment: Integrating Local Statistics and Global Semantics Abstract: Omnidirectional image quality assessment (OIQA) aims to predict the perceptual quality of omnidirectional images that cover the whole 180$\times$360$^{\circ}$ viewing range of the visual environment. Here ...	[]	Train
33,227	6	Title: Towards an AI to Win Ghana's National Science and Maths Quiz Abstract: Can an AI win Ghana's National Science and Maths Quiz (NSMQ)? That is the question we seek to answer in the NSMQ AI project, an open-source project that is building AI to compete live in the NSMQ and win. The NSMQ is an annual live science an...	[ 18997 ]	Train
33,228	24	Title: Android in the Wild: A Large-Scale Dataset for Android Device Control Abstract: There is a growing interest in device-control systems that can interpret human natural language instructions and execute them on a digital device by directly controlling its user interface. We present a dataset for device-control res...	[ 14153, 1401, 19876, 30133 ]	Validation
33,229	16	Title: Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN Abstract: Currently, over half of the computing power at CERN GRID is used to run High Energy Physics simulations. The recent updates at the Large Hadron Collider (LHC) create the need for devel...	[]	Validation
33,230	4	Title: What's inside a node? Malicious IPFS nodes under the magnifying glass Abstract: InterPlanetary File System~(IPFS) is one of the most promising decentralized off-chain storage mechanisms, particularly relevant for blockchains, aiming to store the content forever, thus it is crucial to understand its composition, ...	[]	Validation
33,231	30	Title: Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions Abstract: Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for automated scoring rely on supervised learning, i....	[ 28751 ]	Train
33,232	28	Title: Achieving Maximum-likelihood Detection Performance with Square-order Complexity in Large Quasi-Symmetric MIMO Systems Abstract: We focus on the signal detection for large quasi-symmetric (LQS) multiple-input multiple-output (MIMO) systems, where the numbers of both service (M) and user (N) antennas are large and...	[ 10921, 17300, 2831 ]	Validation
33,233	24	Title: Good Lattice Training: Physics-Informed Neural Networks Accelerated by Number Theory Abstract: Physics-informed neural networks (PINNs) offer a novel and efficient approach to solving partial differential equations (PDEs). Their success lies in the physics-informed loss, which trains a neural network to satisfy ...	[]	Validation
33,234	24	Title: Adversary Aware Continual Learning Abstract: Class incremental learning approaches are useful as they help the model to learn new information (classes) sequentially, while also retaining the previously acquired information (classes). However, it has been shown that such approaches are extremely vulnerable to the...	[]	Train
33,235	5	Title: Challenges in Automatic Software Optimization: the Energy Efficiency Case Abstract: With the advent of the Exascale capability allowing supercomputers to perform at least $10^{18}$ IEEE 754 Double Precision (64 bits) operations per second, many concerns have been raised regarding the energy consumption of high-p...	[]	Train
33,236	4	Title: FDINet: Protecting against DNN Model Extraction via Feature Distortion Index Abstract: Machine Learning as a Service (MLaaS) platforms have gained popularity due to their accessibility, cost-efficiency, scalability, and rapid development capabilities. However, recent research has highlighted the vulnerability of...	[ 10723, 21987 ]	Test
33,237	8	Title: Interpersonal Distance Tracking with mmWave Radar and IMUs Abstract: Tracking interpersonal distances is essential for real-time social distancing management and ex-post contact tracing to prevent spreads of contagious diseases. Bluetooth neighbor discovery has been employed for such purposes in combating COVID-...	[]	Test
33,238	16	Title: What Affects Learned Equivariance in Deep Image Recognition Models? Abstract: Equivariance w.r.t. geometric transformations in neural networks improves data efficiency, parameter efficiency and robustness to out-of-domain perspective shifts. When equivariance is not designed into a neural network, the network ca...	[ 44018, 2052 ]	Train
33,239	16	Title: Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer Abstract: Development of defenses against physical world attacks such as adversarial patches is gaining traction within the research community. We contribute to the field of adversarial patch detection by introducing an un...	[]	Train
33,240	13	Title: MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds Abstract: Spiking neural networks (SNNs), as a biology-inspired method mimicking the spiking nature of brain neurons, is a promising energy-efficient alternative to the traditional artificial neural networks (ANNs). The energy saving of SNNs is main...	[ 22629, 27662 ]	Test
33,241	25	Title: Learning Music Sequence Representation From Text Supervision Abstract: Music representation learning is notoriously difficult for its complex human-related concepts contained in the sequence of numerical signals. To excavate better MUsic SEquence Representation from labeled audio, we propose a novel text-supervi...	[ 28517, 29175 ]	Validation
33,242	24	Title: Self-attention Dual Embedding for Graphs with Heterophily Abstract: Graph Neural Networks (GNNs) have been highly successful for the node classification task. GNNs typically assume graphs are homophilic, i.e. neighboring nodes are likely to belong to the same class. However, a number of real-world graphs are het...	[]	Train
33,243	30	Title: Harnessing the Power of BERT in the Turkish Clinical Domain: Pretraining Approaches for Limited Data Scenarios Abstract: Recent advancements in natural language processing (NLP) have been driven by large language models (LLMs), thereby revolutionizing the field. Our study investigates the impact of diverse pre-t...	[]	Train
33,244	24	Title: FlightBERT++: A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework Abstract: Flight Trajectory Prediction (FTP) is an essential task in Air Traffic Control (ATC), which can assist air traffic controllers to manage airspace more safely and efficiently. Existing approaches generally perform mu...	[]	Train
33,245	23	Title: Large Language Models for Education: Grading Open-Ended Questions Using ChatGPT Abstract: As a way of addressing increasingly sophisticated problems, software professionals face the constant challenge of seeking improvement. However, for these individuals to enhance their skills, their process of studying and tr...	[ 40192 ]	Train
33,246	11	Title: Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation Abstract: For Industry 4.0 Revolution, cooperative autonomous mobility systems are widely used based on multi-agent reinforcement learning (MARL). However, the MARL-based algorithms suffer from huge parameter utilization and convergen...	[ 14638 ]	Test
33,247	24	Title: NLP Meets RNA: Unsupervised Embedding Learning for Ribozymes with Word2Vec Abstract: Ribozymes, RNA molecules with distinct 3D structures and catalytic activity, have widespread applications in synthetic biology and therapeutics. However, relatively little research has focused on leveraging deep learning to enha...	[ 30862 ]	Train
33,248	27	Title: Stochastic Hazard Detection For Landing Under Topographic Uncertainty Abstract: Autonomous hazard detection and avoidance is a key technology for future landing missions in unknown surface conditions. Current state-of-the-art stochastic algorithms assume simple Gaussian measurement noise on dense, high-fidelity ...	[]	Test
33,249	31	Title: Optimizing Airbnb Search Journey with Multi-task Learning Abstract: At Airbnb, an online marketplace for stays and experiences, guests often spend weeks exploring and comparing multiple items before making a final reservation request. Each reservation request may then potentially be rejected or cancelled by the ...	[]	Train
33,250	24	Title: Variational Bayes Made Easy Abstract: Variational Bayes is a popular method for approximate inference but its derivation can be cumbersome. To simplify the process, we give a 3-step recipe to identify the posterior form by explicitly looking for linearity with respect to expectations of well-known distributions....	[ 693 ]	Validation
33,251	16	Title: InsightMapper: A Closer Look at Inner-instance Information for Vectorized High-Definition Mapping Abstract: Vectorized high-definition (HD) maps contain detailed information about surrounding road elements, which are crucial for various downstream tasks in modern autonomous driving vehicles, such as vehicle plan...	[ 19693, 44265, 15429, 45267 ]	Train
33,252	24	Title: Gaussian Membership Inference Privacy Abstract: We propose a new privacy notion called $f$-Membership Inference Privacy ($f$-MIP), which explicitly considers the capabilities of realistic adversaries under the membership inference attack threat model. By doing so $f$-MIP offers interpretable privacy guarantees a...	[ 45104, 39614 ]	Validation
33,253	13	Title: Open-Ended Search for Environments and Adapted Agents Using MAP-Elites Abstract: nan	[]	Validation
33,254	28	Title: A Hybrid Wireless Image Transmission Scheme with Diffusion Abstract: We propose a hybrid joint source-channel coding (JSCC) scheme, in which the conventional digital communication scheme is complemented with a generative refinement component to improve the perceptual quality of the reconstruction. The input imag...	[ 42596, 17669 ]	Train
33,255	16	Title: Learning to Ground Instructional Articles in Videos through Narrations Abstract: In this paper we present an approach for localizing steps of procedural activities in narrated how-to videos. To deal with the scarcity of labeled data at scale, we source the step descriptions from a language knowledge base (wikiHo...	[ 32356 ]	Train
33,256	10	Title: Why We Don't Have AGI Yet Abstract: The original vision of AI was re-articulated in 2002 via the term 'Artificial General Intelligence' or AGI. This vision is to build 'Thinking Machines' - computer systems that can learn, reason, and solve problems similar to the way humans do. This is in stark contrast to the ...	[ 31481, 36911, 17606, 17295 ]	Validation
33,257	24	Title: Asymmetric Certified Robustness via Feature-Convex Neural Networks Abstract: Recent works have introduced input-convex neural networks (ICNNs) as learning models with advantageous training, inference, and generalization properties linked to their convex structure. In this paper, we propose a novel feature-convex...	[]	Train
33,258	16	Title: Modeling Uncertain Feature Representation for Domain Generalization Abstract: Though deep neural networks have achieved impressive success on various vision tasks, obvious performance degradation still exists when models are tested in out-of-distribution scenarios. In addressing this limitation, we ponder that t...	[]	Test
33,259	24	Title: Theory on Forgetting and Generalization of Continual Learning Abstract: Continual learning (CL), which aims to learn a sequence of tasks, has attracted significant recent attention. However, most work has focused on the experimental performance of CL, and theoretical studies of CL are still limited. In particula...	[ 16687 ]	Train
33,260	24	Title: Explaining Black-Box Models through Counterfactuals Abstract: We present CounterfactualExplanations.jl: a package for generating Counterfactual Explanations (CE) and Algorithmic Recourse (AR) for black-box models in Julia. CE explain how inputs into a model need to change to yield specific model predictions. Exp...	[ 45523 ]	Test
33,261	16	Title: A Neural Space-Time Representation for Text-to-Image Personalization Abstract: A key aspect of text-to-image personalization methods is the manner in which the target concept is represented within the generative process. This choice greatly affects the visual fidelity, downstream editability, and disk space need...	[ 10788, 42149, 7655, 36168, 43911, 6162, 34167, 26809, 14490, 43867, 18205 ]	Train
33,262	10	Title: AI Chatbots as Multi-Role Pedagogical Agents: Transforming Engagement in CS Education Abstract: This study investigates the use of Artificial Intelligence (AI)-powered, multi-role chatbots as a means to enhance learning experiences and foster engagement in computer science education. Leveraging a design-based re...	[]	Train
33,263	16	Title: Muti-Scale And Token Mergence: Make Your ViT More Efficient Abstract: Since its inception, Vision Transformer (ViT) has emerged as a prevalent model in the computer vision domain. Nonetheless, the multi-head self-attention (MHSA) mechanism in ViT is computationally expensive due to its calculation of relationshi...	[]	Train
33,264	25	Title: SCANet: A Self- and Cross-Attention Network for Audio-Visual Speech Separation Abstract: The integration of different modalities, such as audio and visual information, plays a crucial role in human perception of the surrounding environment. Recent research has made significant progress in designing fusion module...	[]	Train
33,265	4	Title: Color-NeuraCrypt: Privacy-Preserving Color-Image Classification Using Extended Random Neural Networks Abstract: In recent years, with the development of cloud computing platforms, privacy-preserving methods for deep learning have become an urgent problem. NeuraCrypt is a private random neural network for privacy...	[ 28049 ]	Train
33,266	11	Title: Event-triggered privacy preserving consensus control with edge-based additive noise Abstract: In this article, we investigate the distributed privacy preserving weighted consensus control problem for linear continuous-time multi-agent systems under the event-triggering communication mode. A novel event-triggered...	[]	Train
33,267	16	Title: Anything-3D: Towards Single-view Anything Reconstruction in the Wild Abstract: 3D reconstruction from a single-RGB image in unconstrained real-world scenarios presents numerous challenges due to the inherent diversity and complexity of objects and environments. In this paper, we introduce Anything-3D, a methodic...	[ 2976, 3680, 12704, 11551, 24549, 3782, 3912, 35263, 16562, 13876, 44854, 11959, 16728, 34074, 1151 ]	Train
33,268	24	Title: On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks Abstract: In supervised learning, the regularization path is sometimes used as a convenient theoretical proxy for the optimization path of gradient descent initialized from zero. In this paper, we study a modification of the regularizat...	[]	Train
33,269	27	Title: Automatic off-line design of robot swarms: exploring the transferability of control software and design methods across different platforms Abstract: Automatic off-line design is an attractive approach to implementing robot swarms. In this approach, a designer specifies a mission for the swarm, and an optimizatio...	[]	Test
33,270	24	Title: SkelEx and BoundEx: Natural Visualization of ReLU Neural Networks Abstract: Despite their limited interpretability, weights and biases are still the most popular encoding of the functions learned by ReLU Neural Networks (ReLU NNs). That is why we introduce SkelEx, an algorithm to extract a skeleton of the member...	[]	Train
33,271	24	Title: A General Framework for Uncertainty Quantification via Neural SDE-RNN Abstract: Uncertainty quantification is a critical yet unsolved challenge for deep learning, especially for the time series imputation with irregularly sampled measurements. To tackle this problem, we propose a novel framework based on the pri...	[]	Train
33,272	34	Title: Sample-based distance-approximation for subsequence-freeness Abstract: In this work, we study the problem of approximating the distance to subsequence-freeness in the sample-based distribution-free model. For a given subsequence (word) $w = w_1 \dots w_k$, a sequence (text) $T = t_1 \dots t_n$ is said to contain...	[]	Train
33,273	30	Title: Conformalizing Machine Translation Evaluation Abstract: Several uncertainty estimation methods have been recently proposed for machine translation evaluation. While these methods can provide a useful indication of when not to trust model predictions, we show in this paper that the majority of them tend to undere...	[ 6140, 10083, 4340, 32158 ]	Train
33,274	27	Title: Independent Control of Two Magnetic Robots using External Permanent Magnets: A Feasibility Study Abstract: The ability to have multiple magnetic robots operate independently in the same workspace would increase the clinical potential of these systems allowing collaborative operation. In this work, we investigate...	[]	Train
33,275	34	Title: Perfect Sampling of $q$-Spin Systems on $\mathbb Z^2$ via Weak Spatial Mixing Abstract: We present a perfect marginal sampler of the unique Gibbs measure of a spin system on $\mathbb Z^2$. The algorithm is an adaptation of a previous `lazy depth-first' approach by the authors, but relaxes the requirement of stro...	[]	Train
33,276	30	Title: idT5: Indonesian Version of Multilingual T5 Transformer Abstract: Indonesian language is spoken by almost 200 million people and is the 10th most spoken language in the world, but it is under-represented in NLP (Natural Language Processing) research. A sparsity of language resources has hampered previous work on...	[]	Train
33,277	16	Title: NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM Abstract: Neural implicit representations have recently become popular in simultaneous localization and mapping (SLAM), especially in dense visual SLAM. However, previous works in this direction either rely on RGB-D sensors, or require a separate monocular ...	[ 38017, 32995, 22436, 16805, 41155, 43077, 35497, 6986, 16854, 5655, 8606 ]	Validation

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