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
31,478	24	Title: How adversarial attacks can disrupt seemingly stable accurate classifiers Abstract: Adversarial attacks dramatically change the output of an otherwise accurate learning system using a seemingly inconsequential modification to a piece of input data. Paradoxically, empirical evidence indicates that even systems wh...	[]	Test
31,479	10	Title: Deconstructing deep active inference Abstract: Active inference is a theory of perception, learning and decision making, which can be applied to neuroscience, robotics, and machine learning. Recently, reasearch has been taking place to scale up this framework using Monte-Carlo tree search and deep learning. The ...	[]	Train
31,480	24	Title: ECS - an Interactive Tool for Data Quality Assurance Abstract: With the increasing capabilities of machine learning systems and their potential use in safety-critical systems, ensuring high-quality data is becoming increasingly important. In this paper we present a novel approach for the assurance of data qualit...	[ 2276 ]	Validation
31,481	10	Title: Concepts is All You Need: A More Direct Path to AGI Abstract: Little demonstrable progress has been made toward AGI (Artificial General Intelligence) since the term was coined some 20 years ago. In spite of the fantastic breakthroughs in Statistical AI such as AlphaZero, ChatGPT, and Stable Diffusion none of the...	[ 33256, 4634, 12602, 27454 ]	Validation
31,482	10	Title: Probabilistic Dataset Reconstruction from Interpretable Models Abstract: Interpretability is often pointed out as a key requirement for trustworthy machine learning. However, learning and releasing models that are inherently interpretable leaks information regarding the underlying training data. As such disclosu...	[]	Validation
31,483	28	Title: Mapper Side Geometric Shaping for QAM Constellations in 5G MIMO Wireless Channel with Realistic LDPC Codes Abstract: In wireless communication systems, there are many stages for signal transmission. Among them, mapping and demapping convert a sequence of bits into a sequence of complex numbers and vice versa. Th...	[]	Validation
31,484	31	Title: Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face Abstract: We present Spacerini, a modular framework for seamless building and deployment of interactive search applications, designed to facilitate the qualitative analysis of large scale research datasets. Spacerini integrates features from ...	[ 32450, 23898, 30603 ]	Train
31,485	23	Title: Reinforcement Learning-supported AB Testing of Business Process Improvements: An Industry Perspective Abstract: nan	[]	Train
31,486	27	Title: Hovering Control of Flapping Wings in Tandem with Multi-Rotors Abstract: This work briefly covers our efforts to stabilize the flight dynamics of Northeastern's tailless bat-inspired micro aerial vehicle, Aerobat. Flapping robots are not new. A plethora of examples is mainly dominated by insect-style design para...	[]	Train
31,487	16	Title: Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models Abstract: As general purpose vision models get increasingly effective at a wide set of tasks, it is imperative that they be consistent across the tasks they support. Inconsistent AI models are considered brittle and untrustworthy ...	[ 8312 ]	Validation
31,488	29	Title: Updates on the Low-Level Abstraction of Memory Access Abstract: Choosing the best memory layout for each hardware architecture is increasingly important as more and more programs become memory bound. For portable codes that run across heterogeneous hardware architectures, the choice of the memory layout for data...	[]	Train
31,489	24	Title: DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model Abstract: Electrical load forecasting is of great significance for the decision makings in power systems, such as unit commitment and energy management. In recent years, various self-supervised neural network-based methods have been ap...	[ 29857 ]	Validation
31,490	4	Title: Vulnerable Smart Contract Function Locating Based on Multi-Relational Nested Graph Convolutional Network Abstract: The immutable and trustable characteristics of blockchain enable smart contracts to be applied in various fields. Unfortunately, smart contracts are subject to various vulnerabilities, which are fre...	[]	Train
31,491	24	Title: List Online Classification Abstract: We study multiclass online prediction where the learner can predict using a list of multiple labels (as opposed to just one label in the traditional setting). We characterize learnability in this model using the $b$-ary Littlestone dimension. This dimension is a variation of ...	[]	Train
31,492	24	Title: Structural Node Embeddings with Homomorphism Counts Abstract: Graph homomorphism counts, first explored by Lov\'asz in 1967, have recently garnered interest as a powerful tool in graph-based machine learning. Grohe (PODS 2020) proposed the theoretical foundations for using homomorphism counts in machine learning...	[ 28792, 37326, 23398, 3503 ]	Train
31,493	30	Title: Hallucinations in Large Multilingual Translation Models Abstract: Large-scale multilingual machine translation systems have demonstrated remarkable ability to translate directly between numerous languages, making them increasingly appealing for real-world applications. However, when deployed in the wild, these m...	[ 38208, 35680, 5891, 13155, 34659, 33511, 32744, 10846, 17577, 44727, 37360, 24150, 38102, 8571, 15358 ]	Test
31,494	10	Title: A Survey on Compositional Generalization in Applications Abstract: The field of compositional generalization is currently experiencing a renaissance in AI, as novel problem settings and algorithms motivated by various practical applications are being introduced, building on top of the classical compositional gen...	[]	Test
31,495	4	Title: HyMo: Vulnerability Detection in Smart Contracts using a Novel Multi-Modal Hybrid Model Abstract: With blockchain technology rapidly progress, the smart contracts have become a common tool in a number of industries including finance, healthcare, insurance and gaming. The number of smart contracts has multiplied,...	[]	Train
31,496	24	Title: Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits Abstract: Probabilistic Circuits (PCs) are a general and unified computational framework for tractable probabilistic models that support efficient computation of various inference tasks (e.g., computing margina...	[]	Train
31,497	16	Title: Gestalt-Guided Image Understanding for Few-Shot Learning Abstract: Due to the scarcity of available data, deep learning does not perform well on few-shot learning tasks. However, human can quickly learn the feature of a new category from very few samples. Nevertheless, previous work has rarely considered how to ...	[]	Test
31,498	24	Title: Model Based Explanations of Concept Drift Abstract: The notion of concept drift refers to the phenomenon that the distribution generating the observed data changes over time. If drift is present, machine learning models can become inaccurate and need adjustment. While there do exist methods to detect concept dri...	[ 17536 ]	Train
31,499	27	Title: Task Space Control of Hydraulic Construction Machines using Reinforcement Learning Abstract: Teleoperation is vital in the construction industry, allowing safe machine manipulation from a distance. However, controlling machines at a joint level requires extensive training due to their complex degrees of freedom....	[ 9876 ]	Train
31,500	25	Title: Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations Abstract: This work investigates pretrained audio representations for few shot Sound Event Detection. We specifically address the task of few shot detection of novel acoustic sequences, or sound events with semant...	[]	Train
31,501	24	Title: Unleashing the Power of Electrocardiograms: A novel approach for Patient Identification in Healthcare Systems with ECG Signals Abstract: Over the course of the past two decades, a substantial body of research has substantiated the viability of utilising cardiac signals as a biometric modality. This paper present...	[]	Test
31,502	9	Title: A Complication for the Many Worlds Theory Abstract: The Many Worlds Theory and the Independence Postulate are in conflict, as shown through the existence of a finite experiment that measures the spin of a large number of electrons. After the experiment there are branches of positive probability which contain for...	[]	Validation
31,503	30	Title: NAIST-SIC-Aligned: Automatically-Aligned English-Japanese Simultaneous Interpretation Corpus Abstract: It remains a question that how simultaneous interpretation (SI) data affects simultaneous machine translation (SiMT). Research has been limited due to the lack of a large-scale training corpus. In this work, we...	[ 16873 ]	Train
31,504	33	Title: State-deterministic Finite Automata with Translucent Letters and Finite Automata with Nondeterministically Translucent Letters Abstract: Deterministic and nondeterministic finite automata with translucent letters were introduced by Nagy and Otto more than a decade ago as Cooperative Distributed systems of a kind...	[]	Test
31,505	24	Title: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles Abstract: Offline reinforcement learning (RL) is a learning paradigm where an agent learns from a fixed dataset of experience. However, learning solely from a static dataset can limit the performance due to the lack of exploration. To overcome i...	[ 23859 ]	Train
31,506	24	Title: Reproducing Kernel Hilbert Space Pruning for Sparse Hyperspectral Abundance Prediction Abstract: Hyperspectral measurements from long range sensors can give a detailed picture of the items, materials, and chemicals in a scene but analysis can be difficult, slow, and expensive due to high spatial and spectral res...	[]	Train
31,507	34	Title: Near-Optimal Dynamic Time Warping on Run-Length Encoded Strings Abstract: We give an $\tilde O(n^2)$ time algorithm for computing the exact Dynamic Time Warping distance between two strings whose run-length encoding is of size at most $n$. This matches (up to log factors) the known (conditional) lower bound, and...	[]	Validation
31,508	24	Title: Offline Reinforcement Learning with Additional Covering Distributions Abstract: We study learning optimal policies from a logged dataset, i.e., offline RL, with function approximation. Despite the efforts devoted, existing algorithms with theoretic finite-sample guarantees typically assume exploratory data cover...	[ 16321, 33373, 28949 ]	Train
31,509	16	Title: DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration Abstract: The visual models pretrained on large-scale benchmarks encode general knowledge and prove effective in building more powerful representations for downstream tasks. Most existing approache...	[]	Train
31,510	24	Title: Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning Abstract: Model-based reinforcement learning is one approach to increase sample efficiency. However, the accuracy of the dynamics model and the resulting compounding error over modelled trajectories are commonly regarded as key l...	[]	Train
31,511	16	Title: Real-Time Hand Gesture Identification in Thermal Images Abstract: nan	[ 15425 ]	Train
31,512	4	Title: Protecting Cache States Against Both Speculative Execution Attacks and Side-channel Attacks Abstract: Hardware caches are essential performance optimization features in modern processors to reduce the effective memory access time. Unfortunately, they are also the prime targets for attacks on computer processors ...	[ 22157, 34174 ]	Validation
31,513	2	Title: Higher-Order Weakest Precondition Transformers via a CPS Transformation Abstract: Weakest precondition transformers are essential notions for program verification, and various extensions have been studied. However, only a few consider both higher-order languages and syntactic calculation of weakest precondition ...	[]	Train
31,514	27	Title: On Robot Grasp Learning Using Equivariant Models Abstract: Real-world grasp detection is challenging due to the stochasticity in grasp dynamics and the noise in hardware. Ideally, the system would adapt to the real world by training directly on physical systems. However, this is generally difficult due to the la...	[]	Train
31,515	24	Title: ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry Abstract: This paper provides a simulated laboratory for making use of Reinforcement Learning (RL) for chemical discovery. Since RL is fairly data intensive, training agents `on-the-fly' by taking actions in the real world is in...	[ 22794 ]	Train
31,516	18	Title: Should We Even Optimize for Execution Energy? Rethinking Mapping for MAGIC Design Style Abstract: Memristor-based logic-in-memory (LiM) has become popular as a means to overcome the von Neumann bottleneck in traditional data-intensive computing. Recently, the memristor-aided logic (MAGIC) design style has gained...	[ 43927 ]	Train
31,517	16	Title: Data level and decision level fusion of satellite multi-sensor AOD retrievals for improving PM2.5 estimations, a study on Tehran Abstract: nan	[]	Train
31,518	37	Title: Kitana: Efficient Data Augmentation Search for AutoML Abstract: AutoML services provide a way for non-expert users to benefit from high-quality ML models without worrying about model design and deployment, in exchange for a charge per hour ($21.252 for VertexAI). However, existing AutoML services are model-centr...	[ 44420, 3757 ]	Train
31,519	24	Title: Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization Abstract: We tackle the problem of graph out-of-distribution (OOD) generalization. Existing graph OOD algorithms either rely on restricted assumptions or fail to exploit environment information in training da...	[ 25055 ]	Train
31,520	30	Title: Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs Abstract: Colexification in comparative linguistics refers to the phenomenon of a lexical form conveying two or more distinct meanings. In this paper, we propose simple and effective methods to build multilingua...	[ 13700, 747, 42001, 29142, 26747, 6942 ]	Train
31,521	1	Title: Smaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding Abstract: Deep hiding, concealing secret information using Deep Neural Networks (DNNs), can significantly increase the embedding rate and improve the efficiency of secret sharing. Existing works mainly force on designing DNNs with higher embedding r...	[]	Validation
31,522	4	Title: Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems Abstract: nan	[]	Train
31,523	16	Title: Big-model Driven Few-shot Continual Learning Abstract: Few-shot continual learning (FSCL) has attracted intensive attention and achieved some advances in recent years, but now it is difficult to again make a big stride in accuracy due to the limitation of only few-shot incremental samples. Inspired by distinctiv...	[ 23560, 27209, 46101, 3486 ]	Test
31,524	36	Title: Ordinal Potential-based Player Rating Abstract: A two-player symmetric zero-sum game is transitive if for any pure strategies $x$, $y$, $z$, if $x$ is better than $y$, and $y$ is better than $z$, then $x$ is better than $z$. It was recently observed that the Elo rating fails at preserving transitive relations am...	[]	Train
31,525	3	Title: Late-Binding Scholarship in the Age of AI: Navigating Legal and Normative Challenges of a New Form of Knowledge Production Abstract: Artificial Intelligence (AI) is poised to enable a new leap in the creation of scholarly content. New forms of engagement with AI systems, such as collaborations with large languag...	[]	Train
31,526	24	Title: A Restarted Large-Scale Spectral Clustering with Self-Guiding and Block Diagonal Representation Abstract: Spectral clustering is one of the most popular unsupervised machine learning methods. Constructing similarity matrix is crucial to this type of method. In most existing works, the similarity matrix is comput...	[]	Validation
31,527	24	Title: An Improved Best-of-both-worlds Algorithm for Bandits with Delayed Feedback Abstract: We propose a new best-of-both-worlds algorithm for bandits with variably delayed feedback. The algorithm improves on prior work by Masoudian et al. [2022] by eliminating the need in prior knowledge of the maximal delay $d_{\mat...	[]	Validation
31,528	24	Title: Four Axiomatic Characterizations of the Integrated Gradients Attribution Method Abstract: Deep neural networks have produced significant progress among machine learning models in terms of accuracy and functionality, but their inner workings are still largely unknown. Attribution methods seek to shine a light on ...	[]	Train
31,529	24	Title: SketchOGD: Memory-Efficient Continual Learning Abstract: When machine learning models are trained continually on a sequence of tasks, they are liable to forget what they learned on previous tasks -- a phenomenon known as catastrophic forgetting. Proposed solutions to catastrophic forgetting tend to involve stori...	[]	Train
31,530	30	Title: Geometry of Language Abstract: In this article, we present a fresh perspective on language, combining ideas from various sources, but mixed in a new synthesis. As in the minimalist program, the question is whether we can formulate an elegant formalism, a universal grammar or a mechanism which explains significan...	[]	Train
31,531	36	Title: Collaborative Coalitions in Multi-Agent Systems: Quantifying the Strong Price of Anarchy for Resource Allocation Games Abstract: The emergence of new communication technologies allows us to expand our understanding of distributed control and consider collaborative decision-making paradigms. With collaborative al...	[ 15589 ]	Train
31,532	24	Title: SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators Abstract: Graph convolutional networks (GCNs) are becoming increasingly popular as they overcome the limited applicability of prior neural networks. One recent trend in GCNs is the use of deep network architectures. As o...	[ 36226, 18243, 677 ]	Train
31,533	30	Title: Medical Data Augmentation via ChatGPT: A Case Study on Medication Identification and Medication Event Classification Abstract: The identification of key factors such as medications, diseases, and relationships within electronic health records and clinical notes has a wide range of applications in the clinical fi...	[ 40192, 39170, 43566 ]	Validation
31,534	36	Title: Equilibrium and Learning in Fixed-Price Data Markets with Externality Abstract: We propose modeling real-world data markets, where sellers post fixed prices and buyers are free to purchase from any set of sellers, as a simultaneous-move game between the buyers. A key component of this model is the negative exter...	[]	Test
31,535	23	Title: Digital Twins of Business Processes as Enablers for IT / OT Integration Abstract: The vision of Industry 4.0 introduces new requirements to Operational Technology (OT) systems. Solutions for these requirements already exist in the realm of Information Technology (IT), however, due to the different characteristic...	[ 19023 ]	Train
31,536	24	Title: Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity Abstract: While deep learning (DL) models are state-of-the-art in text and image domains, they have not yet consistently outperformed Gradient Boosted Decision Trees (GBDTs) on tabular Learning-To-Rank (LTR) problems. Most of the re...	[ 31430 ]	Test
31,537	10	Title: The Agent-based Modelling for Human Behaviour Special Issue Abstract: If human societies are so complex, then how can we hope to understand them? Artificial Life gives us one answer. The field of Artificial Life comprises a diverse set of introspective studies that largely ask the same questions, albeit from man...	[]	Train
31,538	24	Title: Multi model LSTM architecture for Track Association based on Automatic Identification System Data Abstract: For decades, track association has been a challenging problem in marine surveillance, which involves the identification and association of vessel observations over time. However, the Automatic Identificati...	[ 2181 ]	Train
31,539	25	Title: Extending Audio Masked Autoencoders toward Audio Restoration Abstract: Audio classification and restoration are among major downstream tasks in audio signal processing. However, restoration derives less of a benefit from pretrained models compared to the overwhelming success of pretrained models in classificatio...	[ 1081, 38683 ]	Train
31,540	24	Title: ManyDG: Many-domain Generalization for Healthcare Applications Abstract: The vast amount of health data has been continuously collected for each patient, providing opportunities to support diverse healthcare predictive tasks such as seizure detection and hospitalization prediction. Existing models are mostly tra...	[ 27820, 42615 ]	Test
31,541	25	Title: Textless Speech-to-Music Retrieval Using Emotion Similarity Abstract: We introduce a framework that recommends music based on the emotions of speech. In content creation and daily life, speech contains information about human emotions, which can be enhanced by music. Our framework focuses on a cross-domain retri...	[]	Train
31,542	23	Title: Testing Hateful Speeches against Policies Abstract: In the recent years, many software systems have adopted AI techniques, especially deep learning techniques. Due to their black-box nature, AI-based systems brought challenges to traceability, because AI system behaviors are based on models and data, whereas the...	[]	Train
31,543	16	Title: VDD: Varied Drone Dataset for Semantic Segmentation Abstract: Semantic segmentation of drone images is critical to many aerial vision tasks as it provides essential semantic details that can compensate for the lack of depth information from monocular cameras. However, maintaining high accuracy of semantic segmen...	[ 17962 ]	Train
31,544	30	Title: Transferring Neural Potentials For High Order Dependency Parsing Abstract: High order dependency parsing leverages high order features such as siblings or grandchildren to improve state of the art accuracy of current first order dependency parsers. The present paper uses biaffine scores to provide an estimate of...	[]	Test
31,545	16	Title: Multimodal Adaptation of CLIP for Few-Shot Action Recognition Abstract: Applying large-scale pre-trained visual models like CLIP to few-shot action recognition tasks can benefit performance and efficiency. Utilizing the"pre-training, fine-tuning"paradigm makes it possible to avoid training a network from scratch...	[ 32423, 7331, 3486, 1063 ]	Train
31,546	24	Title: Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning Abstract: While preserving the privacy of federated learning (FL), differential privacy (DP) inevitably degrades the utility (i.e., accuracy) of FL due to model perturbations caused by DP noise added to model updates. Existing...	[ 45348, 7022 ]	Test
31,547	16	Title: Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention Abstract: Self-attention mechanism has been a key factor in the recent progress of Vision Transformer (ViT), which enables adaptive feature extraction from global contexts. However, existing self-attention methods either adopt sparse gl...	[]	Train
31,548	30	Title: PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search Abstract: Few-shot Named Entity Recognition (NER) is a task aiming to identify named entities via limited annotated samples. Recently, prototypical networks have shown promising performance in few-shot NER. Most of ...	[]	Validation
31,549	27	Title: Wind Tunnel Testing and Aerodynamic Characterization of a QuadPlane Uncrewed Aircraft System Abstract: Electric Vertical Takeoff and Landing (eVTOL) vehicles will open new opportunities in aviation. This paper describes the design and wind tunnel analysis of an eVTOL uncrewed aircraft system (UAS) prototype with...	[]	Train
31,550	6	Title: Error-rate Prediction for Mouse-based Rectangular-target Pointing with no Knowledge of Movement Angles Abstract: In rectangular-target pointing, movement angles towards targets are known to affect error rates. When designers determine target sizes, however, they would not know the frequencies of cursor-approachi...	[]	Validation
31,551	8	Title: Age of Processing-Based Data Offloading for Autonomous Vehicles in MultiRATs Open RAN Abstract: Today, vehicles use smart sensors to collect data from the road environment. This data is often processed onboard of the vehicles, using expensive hardware. Such onboard processing increases the vehicle’s cost, quickl...	[ 32875, 10419, 26710 ]	Validation
31,552	30	Title: Having Beer after Prayer? Measuring Cultural Bias in Large Language Models Abstract: Are language models culturally biased? It is important that language models conform to the cultural aspects of the communities they serve. However, we show in this paper that language models suffer from a significant bias toward...	[ 40504, 13495 ]	Train
31,553	27	Title: MorphoArms: Morphogenetic Teleoperation of Multimanual Robot Abstract: Nowadays, there are few unmanned aerial vehicles (UAVs) capable of flying, walking and grasping. A drone with all these functionalities can significantly improve its performance in complex tasks such as monitoring and exploring different type...	[]	Validation
31,554	16	Title: Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense Abstract: Recent advancements in masked image modeling (MIM) have made it a prevailing framework for self-supervised visual representation learning. The MIM pretrained models, like most deep neural network methods, are still vulnerable...	[]	Train
31,555	2	Title: Parallel Pushdown Automata and Commutative Context-Free Grammars in Bisimulation Semantics (Extended Abstract) Abstract: A classical theorem states that the set of languages given by a pushdown automaton coincides with the set of languages given by a context-free grammar. In previous work, we proved the pendant ...	[]	Validation
31,556	3	Title: A new framework for global data regulation Abstract: Under the current regulatory framework for data protections, the protection of human rights writ large and the corresponding outcomes are regulated largely independently from the data and tools that both threaten those rights and are needed to protect them. Th...	[]	Train
31,557	24	Title: Federated Learning over Harmonized Data Silos Abstract: Federated Learning is a distributed machine learning approach that enables geographically distributed data silos to collaboratively learn a joint machine learning model without sharing data. Most of the existing work operates on unstructured data, such as i...	[]	Validation
31,558	16	Title: Decomposed Prototype Learning for Few-Shot Scene Graph Generation Abstract: Today's scene graph generation (SGG) models typically require abundant manual annotations to learn new predicate types. Thus, it is difficult to apply them to real-world applications with a long-tailed distribution of predicates. In this...	[ 32960, 37099 ]	Test
31,559	16	Title: OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes Abstract: In this work, we seek to predict camera poses across scenes with a multi-task learning manner, where we view the localization of each scene as a new task. We propose OFVL-MS, a unified framework that dispenses with the traditional prac...	[ 8405, 16703 ]	Train
31,560	16	Title: Event-based Vision for Early Prediction of Manipulation Actions Abstract: Neuromorphic visual sensors are artificial retinas that output sequences of asynchronous events when brightness changes occur in the scene. These sensors offer many advantages including very high temporal resolution, no motion blur and sma...	[]	Train
31,561	24	Title: Promoting Fairness in GNNs: A Characterization of Stability Abstract: The Lipschitz bound, a technique from robust statistics, can limit the maximum changes in the output concerning the input, taking into account associated irrelevant biased factors. It is an efficient and provable method for examining the outpu...	[ 42141 ]	Train
31,562	24	Title: Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC Abstract: Since their introduction, diffusion models have quickly become the prevailing approach to generative modeling in many domains. They can be interpreted as learning the gradients of a time-varying sequence of log...	[ 24640, 30689, 15132, 1318, 15014, 9384, 30151, 2506, 43836, 14036, 35541, 7960, 43097, 9276 ]	Test
31,563	24	Title: Neural Fields with Hard Constraints of Arbitrary Differential Order Abstract: While deep learning techniques have become extremely popular for solving a broad range of optimization problems, methods to enforce hard constraints during optimization, particularly on deep neural networks, remain underdeveloped. Insp...	[ 18632, 38618 ]	Train
31,564	24	Title: Neural Symbolic Regression using Control Variables Abstract: Symbolic regression (SR) is a powerful technique for discovering the analytical mathematical expression from data, finding various applications in natural sciences due to its good interpretability of results. However, existing methods face scalability ...	[]	Validation
31,565	10	Title: Models of symbol emergence in communication: a conceptual review and a guide for avoiding local minima Abstract: Computational simulations are a popular method for testing hypotheses about the emergence of communication. This kind of research is performed in a variety of traditions including language evolution, ...	[]	Train
31,566	4	Title: Efficient Privacy-Preserved Processing of Multimodal Data for Vehicular Traffic Analysis Abstract: We estimate vehicular traffic states from multimodal data collected by single-loop detectors while preserving the privacy of the individual vehicles contributing to the data. To this end, we propose a novel hybrid ...	[]	Train
31,567	24	Title: A SWAT-based Reinforcement Learning Framework for Crop Management Abstract: Crop management involves a series of critical, interdependent decisions or actions in a complex and highly uncertain environment, which exhibit distinct spatial and temporal variations. Managing resource inputs such as fertilizer and irr...	[]	Train
31,568	16	Title: FusionDepth: Complement Self-Supervised Monocular Depth Estimation with Cost Volume Abstract: Multi-view stereo depth estimation based on cost volume usually works better than self-supervised monocular depth estimation except for moving objects and low-textured surfaces. So in this paper, we propose a multi-fram...	[]	Test
31,569	24	Title: Similarity of Neural Network Models: A Survey of Functional and Representational Measures Abstract: Measuring similarity of neural networks to understand and improve their behavior has become an issue of great importance and research interest. In this survey, we provide a comprehensive overview of two complement...	[ 16192, 29061, 12393, 25559, 29375 ]	Test
31,570	30	Title: On the Impact of Voice Anonymization on Speech-Based COVID-19 Detection Abstract: With advances seen in deep learning, voice-based applications are burgeoning, ranging from personal assistants, affective computing, to remote disease diagnostics. As the voice contains both linguistic and paralinguistic informatio...	[]	Train
31,571	27	Title: SPONGE: Sequence Planning with Deformable-ON-Rigid Contact Prediction from Geometric Features Abstract: Planning robotic manipulation tasks, especially those that involve interaction between deformable and rigid objects, is challenging due to the complexity in predicting such interactions. We introduce SPONGE, a...	[ 10831 ]	Train
31,572	27	Title: Simultaneous Tactile Estimation and Control of Extrinsic Contact Abstract: We propose a method that simultaneously estimates and controls extrinsic contact with tactile feedback. The method enables challenging manipulation tasks that require controlling light forces and accurate motions in contact, such as balan...	[ 25736, 30938, 43699 ]	Train
31,573	7	Title: Efficient Computation of Redundancy Matrices for Moderately Redundant Truss and Frame Structures Abstract: Large statically indeterminate truss and frame structures exhibit complex load-bearing behavior, and redundancy matrices are helpful for their analysis and design. Depending on the task, the full redundancy...	[]	Validation
31,574	24	Title: Bayesian Decision Trees via Tractable Priors and Probabilistic Context-Free Grammars Abstract: Decision Trees are some of the most popular machine learning models today due to their out-of-the-box performance and interpretability. Often, Decision Trees models are constructed greedily in a top-down fashion via he...	[]	Train
31,575	16	Title: HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation Abstract: Panoptic Scene Graph generation (PSG) is a recently proposed task in image scene understanding that aims to segment the image and extract triplets of subjects, objects and their relations to build a scene graph. ...	[ 44534, 25183 ]	Train
31,576	10	Title: Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems Abstract: State-of-the-art order dispatching algorithms for ridesharing batch passenger requests and allocate them to a fleet of vehicles in a centralized manner, optimizing over the estimated values of each vehicle-passenger matching u...	[]	Train
31,577	16	Title: A Comparative Study of GAN-Generated Handwriting Images and MNIST Images using t-SNE Visualization Abstract: The quality of GAN-generated images on the MNIST dataset was explored in this paper by comparing them to the original images using t-distributed stochastic neighbor embedding (t- SNE) visualization. A GAN...	[]	Validation

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