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
38,878	27	Title: Direct Collocation Methods for Trajectory Optimization in Constrained Robotic Systems Abstract: Direct collocation methods are powerful tools to solve trajectory optimization problems in robotics. While their resulting trajectories tend to be dynamically accurate, they may also present large kinematic errors in ...	[ 22022 ]	Test
38,879	24	Title: Fair Few-shot Learning with Auxiliary Sets Abstract: Recently, there has been a growing interest in developing machine learning (ML) models that can promote fairness, i.e., eliminating biased predictions towards certain populations (e.g., individuals from a specific demographic group). Most existing works learn ...	[]	Train
38,880	16	Title: Taming Reversible Halftoning via Predictive Luminance Abstract: Traditional halftoning usually drops colors when dithering images with binary dots, which makes it difficult to recover the original color information. We proposed a novel halftoning technique that converts a color image into a binary halftone with ...	[]	Train
38,881	24	Title: Combinatorial Causal Bandits without Graph Skeleton Abstract: In combinatorial causal bandits (CCB), the learning agent chooses a subset of variables in each round to intervene and collects feedback from the observed variables to minimize expected regret or sample complexity. Previous works study this problem in...	[]	Train
38,882	37	Title: EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions [Technical Report] Abstract: We introduce EQUI-VOCAL: a new system that automatically synthesizes queries over videos from limited user interactions. The user only provides a handful of positive and negative examples o...	[ 26581, 45690, 2661 ]	Validation
38,883	30	Title: Exploring Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning Abstract: Multiple-choice questions (MCQs) are ubiquitous in almost all levels of education since they are easy to administer, grade, and are a reliable format in both assessments and practices. An i...	[ 13484 ]	Train
38,884	34	Title: A d1/2+o(1) Monotonicity Tester for Boolean Functions on d-Dimensional Hypergrids Abstract: Monotonicity testing of Boolean functions on the hypergrid, $f:[n]^d \to \{0,1\}$, is a classic topic in property testing. Determining the non-adaptive complexity of this problem is an important open question. For arbitra...	[ 40, 16709 ]	Train
38,885	23	Title: Supporting the Careers of Developers with Disabilities: Lessons from Zup Innovation Abstract: People with still face discrimination, which creates significant obstacles to accessing higher education, ultimately hindering their access to high-skilled occupations. In this study we present Catalisa, an eight-month ...	[]	Train
38,886	30	Title: Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge Abstract: Large language models (LLMs) have been widely studied for their ability to store and utilize positive knowledge. However, negative knowledge, such as “lions don’t live in the ocean”, is also ubiquitous in...	[ 40810, 37277, 33311 ]	Validation
38,887	30	Title: Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain Abstract: Engineering knowledge-based (or expert) systems require extensive manual effort and domain knowledge. As Large Language Models (LLMs) are trained using an enormous amount of cross-domain knowled...	[ 3448, 10400, 4902, 295 ]	Test
38,888	16	Title: Temporal Coherent Test-Time Optimization for Robust Video Classification Abstract: Deep neural networks are likely to fail when the test data is corrupted in real-world deployment (e.g., blur, weather, etc.). Test-time optimization is an effective way that adapts models to generalize to corrupted data during tes...	[ 43608 ]	Train
38,889	2	Title: Solving Infinite-State Games via Acceleration Abstract: Two-player graph games have found numerous applications, most notably in the synthesis of reactive systems from temporal specifications, but also in verification. The relevance of infinite-state systems in these areas has lead to significant attention towar...	[]	Validation
38,890	24	Title: Learning Prescriptive ReLU Networks Abstract: We study the problem of learning optimal policy from a set of discrete treatment options using observational data. We propose a piecewise linear neural network model that can balance strong prescriptive performance and interpretability, which we refer to as the presc...	[ 32273 ]	Train
38,891	24	Title: ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition Abstract: Human activity recognition (HAR) is one of the core research themes in ubiquitous and wearable computing. With the shift to deep learning (DL) based analysis approaches, it has become possible to extract high-level features and perform ...	[]	Train
38,892	16	Title: ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning Abstract: Noisy partial label learning (noisy PLL) is an important branch of weakly supervised learning. Unlike PLL where the ground-truth label must conceal in the candidate label set, noisy PLL relaxes this constraint and allows the gr...	[]	Train
38,893	26	Title: Disinformation Echo-chambers on Facebook Abstract: The landscape of information has experienced significant transformations with the rapid expansion of the internet and the emergence of online social networks. Initially, there was optimism that these platforms would encourage a culture of active participation an...	[]	Train
38,894	16	Title: What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? Abstract: Recent advancements in Large Language Models (LLMs) such as GPT4 have displayed exceptional multi-modal capabilities in following open-ended instructions given images. However, the performance of these models heavily relies on...	[ 10624, 13700, 41104, 8210, 3609, 30745, 4251, 42270, 34208, 13345, 30243, 1581, 7982, 15413, 1854, 33220, 29396, 7384, 15713, 30049, 37987, 20588, 12527, 23285, 14966, 13564, 381 ]	Validation
38,895	16	Title: SignBERT+: Hand-Model-Aware Self-Supervised Pre-Training for Sign Language Understanding Abstract: Hand gesture serves as a crucial role during the expression of sign language. Current deep learning based methods for sign language understanding (SLU) are prone to over-fitting due to insufficient sign data resour...	[ 15237 ]	Test
38,896	30	Title: Unsupervised Mapping of Arguments of Deverbal Nouns to Their Corresponding Verbal Labels Abstract: Deverbal nouns are nominal forms of verbs commonly used in written English texts to describe events or actions, as well as their arguments. However, many NLP systems, and in particular pattern-based ones, neglect t...	[]	Train
38,897	30	Title: DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition Abstract: The MultiCoNER II shared task aims to tackle multilingual named entity recognition (NER) in fine-grained and noisy scenarios, and it inherits the semantic ambiguity and low-context setting of...	[ 38849, 13700, 36903, 30221, 25071, 11442, 31189 ]	Validation
38,898	30	Title: Epicurus at SemEval-2023 Task 4: Improving Prediction of Human Values behind Arguments by Leveraging Their Definitions Abstract: We describe our experiments for SemEval-2023 Task 4 on the identification of human values behind arguments (ValueEval). Because human values are subjective concepts which require preci...	[ 3496 ]	Train
38,899	16	Title: Intergrated Segmentation and Detection Models for Dentex Challenge 2023 Abstract: Dental panoramic x-rays are commonly used in dental diagnosing. With the development of deep learning, auto detection of diseases from dental panoramic x-rays can help dentists to diagnose diseases more efficiently.The Dentex Chall...	[ 25410 ]	Train
38,900	30	Title: SAIL: Search-Augmented Instruction Learning Abstract: Large language models (LLMs) have been significantly improved by instruction fine-tuning, but still lack transparency and the ability to utilize up-to-date knowledge and information. In this work, we propose search-augmented instruction learning (SAIL), which...	[ 13345, 13700, 29606, 37360, 27669, 32213, 38391, 634, 17789 ]	Train
38,901	16	Title: Few Shot Semantic Segmentation: a review of methodologies and open challenges Abstract: Semantic segmentation assigns category labels to each pixel in an image, enabling breakthroughs in fields such as autonomous driving and robotics. Deep Neural Networks have achieved high accuracies in semantic segmentation bu...	[ 33944, 24257, 27788 ]	Validation
38,902	16	Title: Hierarchical-level rain image generative model based on GAN Abstract: Autonomous vehicles are exposed to various weather during operation, which is likely to trigger the performance limitations of the perception system, leading to the safety of the intended functionality (SOTIF) problems. To efficiently generate...	[]	Train
38,903	34	Title: Space-time Trade-offs for the LCP Array of Wheeler DFAs Abstract: Recently, Conte et al. generalized the longest-common prefix (LCP) array from strings to Wheeler DFAs, and they showed that it can be used to efficiently determine matching statistics on a Wheeler DFA [DCC 2023]. However, storing the LCP array req...	[ 5865 ]	Test
38,904	30	Title: XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages Abstract: Data scarcity is a crucial issue for the development of highly multilingual NLP systems. Yet for many under-represented languages (ULs) -- languages for which NLP re-search is particularly far behind in meeting user needs -...	[ 20226, 17859, 25900, 23277, 30323, 28982, 44473 ]	Train
38,905	16	Title: Introducing Language Guidance in Prompt-based Continual Learning Abstract: Continual Learning aims to learn a single model on a sequence of tasks without having access to data from previous tasks. The biggest challenge in the domain still remains catastrophic forgetting: a loss in performance on seen classes of ...	[]	Validation
38,906	14	Title: SMT-Solving Induction Proofs of Inequalities Abstract: This paper accompanies a new dataset of non-linear real arithmetic problems for the SMT-LIB benchmark collection. The problems come from an automated proof procedure of Gerhold--Kauers, which is well suited for solution by SMT. The problems of this type have...	[]	Validation
38,907	23	Title: Static Analysis for Android GDPR Compliance Assurance Abstract: Many Android applications collect data from users. When they do, they must protect this collected data according to the current legal frameworks. Such data protection has become even more important since the European Union rolled out the General Dat...	[]	Train
38,908	24	Title: Training Latency Minimization for Model-Splitting Allowed Federated Edge Learning Abstract: To alleviate the shortage of computing power faced by clients in training deep neural networks (DNNs) using federated learning (FL), we leverage the edge computing and split learning to propose a model-splitting allowed F...	[]	Train
38,909	22	Title: Substitution for Non-Wellfounded Syntax with Binders Abstract: We describe a generic construction of non-wellfounded syntax involving variable binding and its monadic substitution operation. Our construction of the syntax and its substitution takes place in category theory, notably by using monoidal categories a...	[]	Train
38,910	24	Title: Multiclass Learnability Does Not Imply Sample Compression Abstract: A hypothesis class admits a sample compression scheme, if for every sample labeled by a hypothesis from the class, it is possible to retain only a small subsample, using which the labels on the entire sample can be inferred. The size of the comp...	[]	Train
38,911	22	Title: Topologically sorting VDM-SL definitions for Isabelle/HOL translation Abstract: There is an ecosystem of VDM libraries and extensions that includes a translation and proof environment for VDM in Isabelle. Translation works for a large subset of VDM-SL and further constructs are being added on demand. A key imped...	[]	Train
38,912	16	Title: Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining Abstract: Mainstream 3D representation learning approaches are built upon contrastive or generative modeling pretext tasks, where great improvements in performance on various downstream tasks have been achieved. Ho...	[ 7776, 10624, 2530, 9672, 39144, 17583, 7569, 2449, 1075, 20660, 15541, 33977, 18267 ]	Train
38,913	24	Title: GANN: Graph Alignment Neural Network for Semi-Supervised Learning Abstract: Graph neural networks (GNNs) have been widely investigated in the field of semi-supervised graph machine learning. Most methods fail to exploit adequate graph information when labeled data is limited, leading to the problem of oversmooth...	[ 45942 ]	Train
38,914	24	Title: Mitigating Backdoors in Federated Learning with FLD Abstract: Federated learning allows clients to collaboratively train a global model without uploading raw data for privacy preservation. This feature, i.e., the inability to review participants' datasets, has recently been found responsible for federated learni...	[ 41349 ]	Validation
38,915	30	Title: FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering Abstract: Combating disinformation is one of the burning societal crises -- about 67% of the American population believes that disinformation produces a lot of uncertainty, and 10% of them knowingly propagat...	[ 19864 ]	Train
38,916	16	Title: Score-Based Diffusion Models as Principled Priors for Inverse Imaging Abstract: Priors are essential for reconstructing images from noisy and/or incomplete measurements. The choice of the prior determines both the quality and uncertainty of recovered images. We propose turning score-based diffusion models into p...	[ 500, 24292, 44165 ]	Test
38,917	10	Title: Large AI Model-Based Semantic Communications Abstract: Semantic communication (SC) is an emerging intelligent paradigm, offering solutions for various future applications like metaverse, mixed-reality, and the Internet of everything. However, in current SC systems, the construction of the knowledge base (KB) fac...	[]	Train
38,918	24	Title: Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery Abstract: Sparse model identification enables nonlinear dynamical system discovery from data. However, the control of false discoveries for sparse model identification is challenging, especially in the low-data and high-noise li...	[ 24752, 7674, 15964 ]	Train
38,919	3	Title: Bridging Declarative, Procedural, and Conditional Metacognitive Knowledge Gap Using Deep Reinforcement Learning Abstract: In deductive domains, three metacognitive knowledge types in ascending order are declarative, procedural, and conditional learning. This work leverages Deep Reinforcement Learning (DRL) in pr...	[ 27554, 28811, 34452, 43823 ]	Validation
38,920	26	Title: Marriage Matching-based Instant Parking Spot Sharing in Internet of Vehicles Abstract: The rapid development and integration of automotive manufacturing, sensor, and communication technologies have facilitated the emergence of the Internet of Vehicles (IoV). However, the explosive growing demand for parking spot...	[]	Train
38,921	10	Title: Rough Randomness and its Application Abstract: A number of generalizations of stochastic and information-theoretic randomness are known in the literature. However, they are not compatible with handling meaning in vague and dynamic contexts of rough reasoning (and therefore explainable artificial intelligence and...	[ 34435 ]	Train
38,922	28	Title: A Refinement of Expurgation Abstract: We show that with probability that tends to 1 with the code length, expurgating an arbitrarily small fraction of codewords from most pairwise independent codebooks will result in a code attaining the expurgated exponent. We connect the result with the typical error exponent.	[]	Test
38,923	30	Title: SpeechGLUE: How Well Can Self-Supervised Speech Models Capture Linguistic Knowledge? Abstract: Self-supervised learning (SSL) for speech representation has been successfully applied in various downstream tasks, such as speech and speaker recognition. More recently, speech SSL models have also been shown to be be...	[ 3785, 24615 ]	Test
38,924	16	Title: Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation Abstract: Existing knowledge distillation works for semantic seg-mentation mainly focus on transfering high-level contextual knowledge from teacher to student. However, low-level texture knowledge is also of vital importance for ...	[ 8704, 20257, 7939, 2312, 28651, 9976, 16637, 10589, 9343 ]	Train
38,925	28	Title: Unrolled and Pipelined Decoders based on Look-Up Tables for Polar Codes Abstract: Unrolling a decoding algorithm allows to achieve extremely high throughput at the cost of increased area. Look-up tables (LUTs) can be used to replace functions otherwise implemented as circuits. In this work, we show the impact of...	[]	Test
38,926	27	Title: iPlanner: Imperative Path Planning Abstract: The problem of path planning has been studied for years. Classic planning pipelines, including perception, mapping, and path searching, can result in latency and compounding errors between modules. While recent studies have demonstrated the effectiveness of end-to-end...	[ 21144, 16695 ]	Train
38,927	24	Title: Text Embedding Image Embedding Classifier Waterbird or Landbird ? Discover Error Slices Identify Influential Attributes Rectify Model Misbehaviors Abstract: Recent multi-modal contrastive learning models have demonstrated the ability to learn an embedding space suitable for building strong vision classifiers, by...	[ 3777, 43398, 31243, 32343, 2168, 287 ]	Validation
38,928	28	Title: Designing Discontinuities Abstract: Discontinuities can be fairly arbitrary but also cause a significant impact on outcomes in social systems. Indeed, their arbitrariness is why they have been used to infer causal relationships among variables in numerous settings. Regression discontinuity from econometrics assu...	[]	Test
38,929	30	Title: Marpa and nullable symbols Abstract: The Marpa parser was intended to make the best results in the academic literature on Earley's algorithm available as a practical general parser. Earley-based parsers have had issues handling nullable symbols. Initially, we dealt with nullable symbols by following the approach...	[]	Train
38,930	30	Title: Choice Fusion as Knowledge for Zero-Shot Dialogue State Tracking Abstract: With the demanding need for deploying dialogue systems in new domains with less cost, zero-shot dialogue state tracking (DST), which tracks user's requirements in task-oriented dialogues without training on desired domains, draws attentio...	[]	Train
38,931	30	Title: Learning to Paraphrase Sentences to Different Complexity Levels Abstract: While sentence simplification is an active research topic in NLP, its adjacent tasks of sentence complexification and same-level paraphrasing are not. To train models on all three tasks, we present two new unsupervised datasets. We compare...	[ 20481, 23277 ]	Train
38,932	30	Title: TwistList: Resources and Baselines for Tongue Twister Generation Abstract: Previous work in phonetically-grounded language generation has mainly focused on domains such as lyrics and poetry. In this paper, we present work on the generation of tongue twisters - a form of language that is required to be phonetical...	[ 45211, 30895 ]	Test
38,933	16	Title: TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation Abstract: This paper proposes a novel batch normalization strategy for test-time adaptation. Recent test-time adaptation methods heavily rely on the modified batch normalization, i.e., transductive batch normalization (TBN), which calculates t...	[ 11651, 7237, 293, 43608, 14008, 40532, 39381, 7064, 13183 ]	Train
38,934	24	Title: Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning Abstract: Repeated parameter sharing in federated learning causes significant information leakage about private data, thus defeating its main purpose: data privacy. Mitigating the risk of this information...	[ 43256, 13903 ]	Train
38,935	30	Title: How to Solve Few-Shot Abusive Content Detection Using the Data We Actually Have Abstract: Due to the broad range of social media platforms and their user groups, the requirements of abusive language detection systems are varied and ever-changing. Already a large set of annotated corpora with different properties...	[]	Validation
38,936	30	Title: TESS: Text-to-Text Self-Conditioned Simplex Diffusion Abstract: Diffusion models have emerged as a powerful paradigm for generation, obtaining strong performance in various domains with continuous-valued inputs. Despite the promises of fully non-autoregressive text generation, applying diffusion models to natura...	[ 21152, 20323, 23242, 23120, 14514 ]	Validation
38,937	16	Title: WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition Abstract: Though research has shown the complementarity of camera- and inertial-based data, datasets which offer both modalities remain scarce. In this paper, we introduce WEAR, an outdoor sports dataset for both vision- and inertia...	[ 35371, 29101 ]	Test
38,938	16	Title: VLSlice: Interactive Vision-and-Language Slice Discovery Abstract: Recent work in vision-and-language demonstrates that large-scale pretraining can learn generalizable models that are efficiently transferable to downstream tasks. While this may improve dataset-scale aggregate metrics, analyzing performance aroun...	[]	Test
38,939	34	Title: Testing Graph Properties with the Container Method Abstract: We establish nearly optimal sample complexity bounds for testing the $\rho$-clique property in the dense graph model. Specifically, we show that it is possible to distinguish graphs on $n$ vertices that have a $\rho n$-clique from graphs for which at l...	[]	Validation
38,940	24	Title: Policy Dispersion in Non-Markovian Environment Abstract: Markov Decision Process (MDP) presents a mathematical framework to formulate the learning processes of agents in reinforcement learning. MDP is limited by the Markovian assumption that a reward only depends on the immediate state and action. However, a rew...	[]	Test
38,941	28	Title: Successive-Cancellation Flip Decoding of Polar Codes with a Simplified Restart Mechanism Abstract: Polar codes are a class of error-correcting codes that provably achieve the capacity of practical channels. The successive-cancellation flip (SCF) decoder is a low-complexity decoder that was proposed to improve th...	[]	Test
38,942	14	Title: Generating Elementary Integrable Expressions Abstract: There has been an increasing number of applications of machine learning to the field of Computer Algebra in recent years, including to the prominent sub-field of Symbolic Integration. However, machine learning models require an abundance of data for them to ...	[]	Train
38,943	26	Title: Classification of Edge-dependent Labels of Nodes in Hypergraphs Abstract: A hypergraph is a data structure composed of nodes and hyperedges, where each hyperedge is an any-sized subset of nodes. Due to the flexibility in hyperedge size, hypergraphs represent group interactions (e.g., co-authorship by more than t...	[]	Train
38,944	1	Title: Multimodal Continuous Emotion Recognition: A Technical Report for ABAW5 Abstract: We used two multimodal models for continuous valence-arousal recognition using visual, audio, and linguistic information. The first model is the same as we used in ABAW2 and ABAW3, which employs the leader-follower attention. The s...	[ 7781, 39782, 17321, 16586, 23627, 2323, 34718 ]	Train
38,945	16	Title: Self-distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach Abstract: Text recognition methods are gaining rapid development. Some advanced techniques, e.g., powerful modules, language models, and un- and semi-supervised learning schemes, consecu...	[]	Train
38,946	27	Title: GPT Models Meet Robotic Applications: Co-Speech Gesturing Chat System Abstract: This technical paper introduces a chatting robot system that utilizes recent advancements in large-scale language models (LLMs) such as GPT-3 and ChatGPT. The system is integrated with a co-speech gesture generation system, which sel...	[ 22115 ]	Train
38,947	24	Title: Results on Counterfactual Invariance Abstract: In this paper we provide a theoretical analysis of counterfactual invariance. We present a variety of existing definitions, study how they relate to each other and what their graphical implications are. We then turn to the current major question surrounding counterf...	[]	Train
38,948	30	Title: LARCH: Large Language Model-based Automatic Readme Creation with Heuristics Abstract: Writing a readme is a crucial aspect of software development as it plays a vital role in managing and reusing program code. Though it is a pain point for many developers, automatically creating one remains a challenge even with...	[ 39873, 32450, 33220, 27669 ]	Test
38,949	4	Title: Attacking (EC)DSA scheme with ephemeral keys sharing specific bits Abstract: In this paper, we present a deterministic attack on (EC)DSA signature scheme, providing that several signatures are known such that the corresponding ephemeral keys share a certain amount of bits without knowing their value. By eliminat...	[]	Test
38,950	4	Title: Time for aCTIon: Automated Analysis of Cyber Threat Intelligence in the Wild Abstract: Cyber Threat Intelligence (CTI) plays a crucial role in assessing risks and enhancing security for organizations. However, the process of extracting relevant information from unstructured text sources can be expensive and time...	[ 38849, 35580 ]	Test
38,951	30	Title: X-CapsNet For Fake News Detection Abstract: News consumption has significantly increased with the growing popularity and use of web-based forums and social media. This sets the stage for misinforming and confusing people. To help reduce the impact of misinformation on users' potential health-related decisions an...	[]	Validation
38,952	16	Title: Self-supervised learning of Split Invariant Equivariant representations Abstract: Recent progress has been made towards learning invariant or equivariant representations with self-supervised learning. While invariant methods are evaluated on large scale datasets, equivariant ones are evaluated in smaller, more c...	[ 14586, 42508 ]	Train
38,953	16	Title: ScanERU: Interactive 3D Visual Grounding based on Embodied Reference Understanding Abstract: Aiming to link natural language descriptions to specific regions in a 3D scene represented as 3D point clouds, 3D visual grounding is a very fundamental task for human-robot interaction. The recognition errors can signif...	[]	Test
38,954	8	Title: Datacenter Ethernet and RDMA: Issues at Hyperscale Abstract: We observe that emerging artificial intelligence, high-performance computing, and storage workloads pose new challenges for large-scale datacenter networking. RDMA over Converged Ethernet (RoCE) was an attempt to adopt modern Remote Direct Memory Acces...	[]	Validation
38,955	16	Title: High-Similarity-Pass Attention for Single Image Super-Resolution Abstract: Recent developments in the field of non-local attention (NLA) have led to a renewed interest in self-similarity-based single image super-resolution (SISR). Researchers usually used the NLA to explore non-local self-similarity (NSS) in SIS...	[]	Train
38,956	27	Title: Aerostack2: A Software Framework for Developing Multi-robot Aerial Systems Abstract: In recent years, the robotics community has witnessed the development of several software stacks for ground and articulated robots, such as Navigation2 and MoveIt. However, the same level of collaboration and standardization is ...	[ 10230 ]	Test
38,957	24	Title: Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration Abstract: A promising technique for exploration is to maximize the entropy of visited state distribution, i.e., state entropy, by encouraging uniform coverage of visited state space. While it has been effective for an unsupervis...	[ 22816 ]	Test
38,958	30	Title: Chinese Open Instruction Generalist: A Preliminary Release Abstract: Instruction tuning is widely recognized as a key technique for building generalist language models, which has attracted the attention of researchers and the public with the release of InstructGPT~\citep{ouyang2022training} and ChatGPT\footnote{...	[ 13345, 44162, 25892, 35556, 40330, 16556, 44050, 43930, 18683, 34910 ]	Train
38,959	16	Title: Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs Abstract: Casually captured Neural Radiance Fields (NeRFs) suffer from artifacts such as floaters or flawed geometry when rendered outside the camera trajectory. Existing evaluation protocols often do not capture these effects, since they usual...	[ 19781, 2950, 30566, 23051, 21771, 30835, 12665, 41055, 36286, 38751 ]	Train
38,960	34	Title: Optimization Perspectives on Shellsort Abstract: Shellsort is a sorting method that is attractive due to its simplicity, yet it takes effort to analyze its efﬁciency. The heart of the algorithm is the gap sequence chosen a priori and used during sorting. The selection of this gap sequence affects the efﬁciency o...	[]	Validation
38,961	4	Title: Proof of Training (PoT): Harnessing Crypto Mining Power for Distributed AI Training Abstract: In the midst of the emerging trend of integrating artificial intelligence (AI) with crypto mining, we identify three major challenges that create a gap between these two fields. To bridge this gap, we introduce the proo...	[]	Validation
38,962	24	Title: Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Abstract: We introduce a library, Dataset Grouper, to create large-scale group-structured (e.g., federated) datasets, enabling federated learning simulation at the scale of foundation models. This library allows the cre...	[ 1626, 15495 ]	Test
38,963	16	Title: Exploring the Sharpened Cosine Similarity Abstract: Convolutional layers have long served as the primary workhorse for image classification. Recently, an alternative to convolution was proposed using the Sharpened Cosine Similarity (SCS), which in theory may serve as a better feature detector. While multiple sou...	[ 24630 ]	Train
38,964	4	Title: An Assessment Methodology and Instrument for Cybersecurity: The Ireland Use Case Abstract: Governments around the world are required to strengthen their national cybersecurity capabilities to respond effectively to the growing, changing, and sophisticated cyber threats and attacks, thus protecting society and th...	[]	Validation
38,965	4	Title: Graph Neural Networks Enhanced Smart Contract Vulnerability Detection of Educational Blockchain Abstract: With the development of blockchain technology, more and more attention has been paid to the intersection of blockchain and education, and various educational evaluation systems and E-learning systems are dev...	[]	Train
38,966	4	Title: ZIRCON: Zero-watermarking-based approach for data integrity and secure provenance in IoT networks Abstract: The Internet of Things (IoT) is integrating the Internet and smart devices in almost every domain such as home automation, e-healthcare systems, vehicular networks, industrial control and military applicat...	[]	Validation
38,967	7	Title: An efficient phase-field model of shear fractures using deviatoric stress split Abstract: We propose a phase-field model of shear fractures using the deviatoric stress decomposition. This choice allows us to use general three-dimensional Mohr–Coulomb’s failure function for formulating the relations and evaluatin...	[ 2256, 18909 ]	Train
38,968	4	Title: Differentially Private Synthetic Data Using KD-Trees Abstract: Creation of a synthetic dataset that faithfully represents the data distribution and simultaneously preserves privacy is a major research challenge. Many space partitioning based approaches have emerged in recent years for answering statistical queri...	[]	Validation
38,969	24	Title: Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant Abstract: Organ transplant is the essential treatment method for some end-stage diseases, such as liver failure. Analyzing the post-transplant cause of death (CoD) after organ transplant provides a powerful tool for...	[ 8047 ]	Train
38,970	5	Title: Monitoring Cascading Changes of Resources in the Kubernetes Control Plane Abstract: Kubernetes is a container management system that has many automated functionalities. Those functionalities are managed by configuring objects and resources in the control plane. Since most objects change their state depending on ...	[]	Validation
38,971	30	Title: TACR: A Table-alignment-based Cell-selection and Reasoning Model for Hybrid Question-Answering Abstract: Hybrid Question-Answering (HQA), which targets reasoning over tables and passages linked from table cells, has witnessed significant research in recent years. A common challenge in HQA and other passage-table...	[]	Train
38,972	10	Title: PPN: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts Abstract: Key Information Extraction (KIE) is a challenging multimodal task that aims to extract structured value semantic entities from visually rich documents. Although significant progress has been made, there are still tw...	[ 41597 ]	Validation
38,973	34	Title: Online Algorithms and Lower Bounds for Average-Case Matrix Discrepancy Abstract: We study the operator norm discrepancy of i.i.d. random matrices, initiating the matrix-valued analog of a long line of work on the $\ell^{\infty}$ norm discrepancy of i.i.d. random vectors. First, we give a new analysis of the matr...	[ 38641, 44059 ]	Train
38,974	16	Title: LCReg: Long-Tailed Image Classification with Latent Categories based Recognition Abstract: In this work, we tackle the challenging problem of long-tailed image recognition. Previous long-tailed recognition approaches mainly focus on data augmentation or re-balancing strategies for the tail classes to give them m...	[ 26394 ]	Validation
38,975	10	Title: Attribution-Scores and Causal Counterfactuals as Explanations in Artificial Intelligence Abstract: In this expository article we highlight the relevance of explanations for artificial intelligence, in general, and for the newer developments in {\em explainable AI}, referring to origins and connections of and amo...	[ 29012, 33182 ]	Validation
38,976	24	Title: A Unified Model and Dimension for Interactive Estimation Abstract: We study an abstract framework for interactive learning called interactive estimation in which the goal is to estimate a target from its"similarity'' to points queried by the learner. We introduce a combinatorial measure called dissimilarity dime...	[]	Train
38,977	27	Title: Finite element inspired networks: Learning physically-plausible deformable object dynamics from partial observations Abstract: The accurate simulation of deformable linear object (DLO) dynamics is challenging if the task at hand requires a human-interpretable and data-efficient model that also yields fast predic...	[]	Train

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