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
45,478	10	Title: An Overview Of Temporal Commonsense Reasoning and Acquisition Abstract: Temporal commonsense reasoning refers to the ability to understand the typical temporal context of phrases, actions, and events, and use it to reason over problems requiring such knowledge. This trait is essential in temporal natural languag...	[ 12128, 35427, 2054, 20502, 39772 ]	Test
45,479	16	Title: DWT-CompCNN: Deep Image Classification Network for High Throughput JPEG 2000 Compressed Documents Abstract: For any digital application with document images such as retrieval, the classification of document images becomes an essential stage. Conventionally for the purpose, the full versions of the documents, tha...	[ 17363 ]	Train
45,480	4	Title: Lessons in VCR Repair: Compliance of Android App Developers with the California Consumer Privacy Act (CCPA) Abstract: The California Consumer Privacy Act (CCPA) provides California residents with a range of enhanced privacy protections and rights. Our research investigated the extent to which Android app develop...	[]	Train
45,481	30	Title: NL2CMD: An Updated Workflow for Natural Language to Bash Commands Translation Abstract: Translating natural language into Bash Commands is an emerging research field that has gained attention in recent years. Most efforts have focused on producing more accurate translation models. To the best of our knowledge, o...	[ 33697, 11273, 18411, 43566, 33039, 35580 ]	Train
45,482	28	Title: Next-Generation URLLC With Massive Devices: A Unified Semi-Blind Detection Framework for Sourced and Unsourced Random Access Abstract: This paper proposes a unified semi-blind detection framework for sourced and unsourced random access (RA), which enables next-generation ultra-reliable low-latency communications...	[ 14138 ]	Test
45,483	24	Title: Local and Global Explainability Metrics for Machine Learning Predictions Abstract: Rapid advancements in artificial intelligence (AI) technology have brought about a plethora of new challenges in terms of governance and regulation. AI systems are being integrated into various industries and sectors, creating a d...	[]	Train
45,484	27	Title: Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration Abstract: We consider the problem of cooperative exploration where multiple robots need to cooperatively explore an unknown region as fast as possible. Multi-agent reinforcement learning (MARL) has recentl...	[ 42018, 37902 ]	Train
45,485	27	Title: Using the power of memes: The Pepper Robot as a communicative facilitator for autistic children (cAESAR2023 workshop) Abstract: This article describes the preliminary qualitative results of a therapeutic laboratory involving the Pepper robot, as a facilitator, to promote autonomy and functional acquisition in au...	[]	Test
45,486	16	Title: CS-TRD: a Cross Sections Tree Ring Detection method Abstract: This work describes a Tree Ring Detection method for complete Cross-Sections of trees (CS-TRD). The method is based on the detection, processing, and connection of edges corresponding to the tree's growth rings. The method depends on the parameters fo...	[]	Train
45,487	22	Title: Gradual Typing for Effect Handlers Abstract: We present a gradually typed language, GrEff, with effects and handlers that supports migration from unchecked to checked effect typing. This serves as a simple model of the integration of an effect typing discipline with an existing effectful typed language that does...	[]	Validation
45,488	27	Title: Robust Extrinsic Self-Calibration of Camera and Solid State LiDAR Abstract: This letter proposes an extrinsic calibration approach for a pair of monocular camera and prism-spinning solid-state LiDAR. The unique characteristics of the point cloud measured resulting from the flower-like scanning pattern is first d...	[]	Train
45,489	20	Title: Dimensionality Reduction for Persistent Homology with Gaussian Kernels Abstract: Computing persistent homology using Gaussian kernels is useful in the domains of topological data analysis and machine learning as shown by Phillips, Wang and Zheng [SoCG 2015]. However, contrary to the case of computing persistent ...	[]	Train
45,490	16	Title: Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning Abstract: The state of neural network pruning has been noticed to be unclear and even confusing for a while, largely due to"a lack of standardized benchmarks and metrics"[3]. To standar...	[ 35544, 38053, 10038, 11047 ]	Test
45,491	27	Title: Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations Abstract: The field of visual representation learning has seen explosive growth in the past years, but its benefits in robotics have been surprisingly limited so far. Prior work uses generic visual representations as a basis...	[ 18276 ]	Test
45,492	24	Title: Contextual Causal Bayesian Optimisation Abstract: Causal Bayesian optimisation (CaBO) combines causality with Bayesian optimisation (BO) and shows that there are situations where the optimal reward is not achievable if causal knowledge is ignored. While CaBO exploits causal relations to determine the set of cont...	[]	Train
45,493	24	Title: Deep Active Learning in the Presence of Label Noise: A Survey Abstract: Deep active learning has emerged as a powerful tool for training deep learning models within a predefined labeling budget. These models have achieved performances comparable to those trained in an offline setting. However, deep active learni...	[]	Train
45,494	30	Title: SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models Abstract: Recent advances in large language models (LLMs) have demonstrated notable progress on many mathematical benchmarks. However, most of these benchmarks only feature problems grounded in junior and senior high...	[ 39554, 37987, 13700, 15812, 33220, 1575, 43970, 45242, 22444, 7695, 16274, 6963, 27282, 634, 32859, 7964 ]	Train
45,495	30	Title: Post Hoc Explanations of Language Models Can Improve Language Models Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context...	[ 13510, 16429, 7695, 40882, 20794 ]	Test
45,496	13	Title: Training an Ising Machine with Equilibrium Propagation Abstract: Ising machines, which are hardware implementations of the Ising model of coupled spins, have been influential in the development of unsupervised learning algorithms at the origins of Artificial Intelligence (AI). However, their application to AI ha...	[ 36601 ]	Train
45,497	31	Title: RecRec: Algorithmic Recourse for Recommender Systems Abstract: Recommender systems play an essential role in the choices people make in domains such as entertainment, shopping, food, news, employment, and education. The machine learning models underlying these recommender systems are often enormously large and b...	[]	Train
45,498	24	Title: Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data Abstract: Anomalies refer to the departure of systems and devices from their normal behaviour in standard operating conditions. An anomaly in an industrial device can indicate an upcoming failure, often in the temporal direction. In this pape...	[]	Validation
45,499	16	Title: Adaptive Contextual Perception: How to Generalize to New Backgrounds and Ambiguous Objects Abstract: Biological vision systems make adaptive use of context to recognize objects in new settings with novel contexts as well as occluded or blurry objects in familiar settings. In this paper, we investigate how vision...	[]	Train
45,500	16	Title: MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer Abstract: Precise crop yield prediction provides valuable information for agricultural planning and decision-making processes. However, timely predicting crop yields remains challenging as crop growth is sens...	[]	Train
45,501	28	Title: Dual-Functional MIMO Beamforming Optimization for RIS-Aided Integrated Sensing and Communication Abstract: Aiming at providing wireless communication systems with environment-perceptive capacity, emerging integrated sensing and communication (ISAC) technologies face multiple difficulties, especially in balancing...	[]	Train
45,502	6	Title: Augmented Reality in Service of Human Operations on the Moon: Insights from a Virtual Testbed Abstract: Future astronauts living and working on the Moon will face extreme environmental conditions impeding their operational safety and performance. While it has been suggested that Augmented Reality (AR) Head-Up Di...	[ 26307 ]	Validation
45,503	34	Title: Another virtue of wavelet forests? Abstract: A wavelet forest for a text $T [1..n]$ over an alphabet $\sigma$ takes $n H_0 (T) + o (n \log \sigma)$ bits of space and supports access and rank on $T$ in $O (\log \sigma)$ time. K\"arkk\"ainen and Puglisi (2011) implicitly introduced wavelet forests and showed that ...	[]	Train
45,504	16	Title: ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce Abstract: Accurately estimating human body shape from photos can enable innovative applications in fashion, from mass customization, to size and fit recommendations and virtual try-on. Body silhouettes calculated from user pictur...	[]	Test
45,505	16	Title: Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification Abstract: With the popularity of deep neural networks (DNNs), model interpretability is becoming a critical concern. Many approaches have been developed to tackle the problem through post-hoc analysis, such as explaining how pred...	[ 20355, 16581, 21989, 36263, 40136, 11273, 45189, 31147, 44272, 16471, 24, 21594, 23230, 1151 ]	Validation
45,506	16	Title: Learnable Differencing Center for Nighttime Depth Perception Abstract: Depth completion is the task of recovering dense depth maps from sparse ones, usually with the help of color images. Existing image-guided methods perform well on daytime depth perception self-driving benchmarks, but struggle in nighttime sce...	[ 3938, 43394, 42820, 28462, 16079, 45941, 15775 ]	Validation
45,507	23	Title: Evaluating the Risk of Changes in a Microservices Architecture Abstract: In a microservices-based system, reliability and availability are key components to guarantee the best-in-class experience for the consumers. One of the key advantages of microservices architecture is the ability to independently deploy ser...	[]	Validation
45,508	30	Title: Radar de Parité: An NLP system to measure gender representation in French news stories Abstract: We present the Radar de Parit\'e, an automated Natural Language Processing (NLP) system that measures the proportion of women and men quoted daily in six Canadian French-language media outlets. We outline the system'...	[]	Validation
45,509	25	Title: Towards Improving the Expressiveness of Singing Voice Synthesis with BERT Derived Semantic Information Abstract: This paper presents an end-to-end high-quality singing voice synthesis (SVS) system that uses bidirectional encoder representation from Transformers (BERT) derived semantic embeddings to improve the e...	[ 38298 ]	Test
45,510	24	Title: Exploring Inductive Biases in Contrastive Learning: A Clustering Perspective Abstract: This paper investigates the differences in data organization between contrastive and supervised learning methods, focusing on the concept of locally dense clusters. We introduce a novel metric, Relative Local Density (RLD), to...	[]	Train
45,511	10	Title: AI Liability Insurance With an Example in AI-Powered E-diagnosis System Abstract: Artificial Intelligence (AI) has received an increasing amount of attention in multiple areas. The uncertainties and risks in AI-powered systems have created reluctance in their wild adoption. As an economic solution to compensate ...	[]	Validation
45,512	8	Title: Towards Automated PKI Trust Transfer for IoT Abstract: IoT deployments grow in numbers and size and questions of long time support and maintainability become increasingly important. To prevent vendor lock-in, standard compliant capabilities to transfer control of IoT devices between service providers must be off...	[]	Validation
45,513	16	Title: Weakly-supervised Contrastive Learning for Unsupervised Object Discovery Abstract: Unsupervised object discovery (UOD) refers to the task of discriminating the whole region of objects from the background within a scene without relying on labeled datasets, which benefits the task of bounding-box-level localizatio...	[ 37795 ]	Test
45,514	16	Title: The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects Abstract: We introduce the ObjectFolder Benchmark, a benchmark suite of 10 tasks for multisensory object-centric learning, centered around object recognition, reconstruction, and manipulation with sight, sound, and touch. We also in...	[ 7484 ]	Train
45,515	30	Title: ClassBases at the CASE-2022 Multilingual Protest Event Detection Task: Multilingual Protest News Detection and Automatically Replicating Manually Created Event Datasets Abstract: In this report, we describe our ClassBases submissions to a shared task on multilingual protest event detection. For the multilingual ...	[]	Validation
45,516	6	Title: Expanding the Role of Affective Phenomena in Multimodal Interaction Research Abstract: In recent decades, the field of affective computing has made substantial progress in advancing the ability of AI systems to recognize and express affective phenomena, such as affect and emotions, during human-human and human-m...	[]	Train
45,517	6	Title: Odyssey: An Interactive Workbench for Expert-Driven Floating-Point Expression Rewriting Abstract: In recent years, researchers have proposed a number of automated tools to identify and improve floating-point rounding error in mathematical expressions. However, users struggle to effectively apply these tools. In ...	[]	Train
45,518	24	Title: HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach Abstract: Offline reinforcement learning (ORL) has gained attention as a means of training reinforcement learning models using pre-collected static data. To address the issue of limited data and imp...	[]	Test
45,519	16	Title: MultiMediate'23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions Abstract: Automatic analysis of human behaviour is a fundamental prerequisite for the creation of machines that can effectively interact with- and support humans in social interactions. In MultiMediate'23, we address t...	[ 22145, 39309, 41334 ]	Train
45,520	36	Title: Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning Abstract: Progress in fields of machine learning and adversarial planning has benefited significantly from benchmark domains, from checkers and the classic UCI data sets to Go and Diplomacy. In sequen...	[ 11406 ]	Test
45,521	16	Title: SparseFormer: Sparse Visual Recognition via Limited Latent Tokens Abstract: Human visual recognition is a sparse process, where only a few salient visual cues are attended to rather than traversing every detail uniformly. However, most current vision networks follow a dense paradigm, processing every single visu...	[ 8968, 12026, 11891 ]	Test
45,522	28	Title: A Shannon-Theoretic Approach to the Storage-Retrieval Tradeoff in PIR Systems Abstract: We consider the storage–retrieval rate trade-off in private information retrieval (PIR) systems using a Shannon-theoretic approach. Our focus is mostly on the canonical two-message two-database case, for which a coding scheme...	[]	Train
45,523	24	Title: Endogenous Macrodynamics in Algorithmic Recourse Abstract: Existing work on Counterfactual Explanations (CE) and Algorithmic Recourse (AR) has largely focused on single individuals in a static environment: given some estimated model, the goal is to find valid counterfactuals for an individual instance that fulfi...	[ 33260, 23111 ]	Test
45,524	16	Title: Unsupervised OmniMVS: Efficient Omnidirectional Depth Inference via Establishing Pseudo-Stereo Supervision Abstract: Omnidirectional multi-view stereo (MVS) vision is attractive for its ultra-wide field-of-view (FoV), enabling machines to perceive 360{\deg} 3D surroundings. However, the existing solutions requir...	[]	Train
45,525	24	Title: Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices Abstract: Determining the degree of confidence of deep learning model in its prediction is an open problem in the field of natural language processing. Most of the classical methods for uncertainty estimation a...	[ 15461 ]	Train
45,526	24	Title: Undersampling and Cumulative Class Re-decision Methods to Improve Detection of Agitation in People with Dementia Abstract: Agitation is one of the most prevalent symptoms in people with dementia (PwD) that can place themselves and the caregiver's safety at risk. Developing objective agitation detection approache...	[]	Train
45,527	16	Title: Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design Abstract: Novel view synthesis is an essential functionality for enabling immersive experiences in various Augmented- and Virtual-Reality (AR/VR) applications, for which Neural Radiance Field (NeRF) has emerged as the s...	[]	Test
45,528	7	Title: Improved convergence of forward and inverse finite element models Abstract: Forward and inverse models are used throughout different engineering fields to predict and understand the behaviour of systems and to find parameters from a set of observations. These models use root-finding and minimisation techniques r...	[]	Validation
45,529	30	Title: A Theory of Emergent In-Context Learning as Implicit Structure Induction Abstract: Scaling large language models (LLMs) leads to an emergent capacity to learn in-context from example demonstrations. Despite progress, theoretical understanding of this phenomenon remains limited. We argue that in-context learning ...	[ 43327, 27880, 7758, 8911, 7664, 1298, 3795, 4340, 21300, 26578, 23447, 37179, 33279 ]	Validation
45,530	16	Title: Mesh-SORT: Simple and effective location-wise tracker with lost management strategies Abstract: Multi-Object Tracking (MOT) has gained extensive attention in recent years due to its potential applications in traffic and pedestrian detection. We note that tracking by detection may suffer from errors generated by ...	[]	Test
45,531	24	Title: Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation Abstract: Distributed training of GNNs enables learning on massive graphs (e.g., social and e-commerce networks) that exceed the storage and computational capacity of a single machine. To reach perf...	[ 27583 ]	Train
45,532	24	Title: NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition Abstract: Neural networks have shown great potential in accelerating the solution of partial differential equations (PDEs). Recently, there has been a growing interest in introducing physics constraints into tra...	[]	Train
45,533	24	Title: Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs Abstract: We present an efficient algorithm for regularized optimal transport. In contrast to previous methods, we use the Douglas-Rachford splitting technique to develop an efficient solver that can handle a broad class of...	[]	Train
45,534	24	Title: Can transformers learn the greatest common divisor? Abstract: I investigate the capability of small transformers to compute the greatest common divisor (GCD) of two positive integers. When the training distribution and the representation base are carefully chosen, models achieve 98% accuracy and correctly predic...	[ 20546, 43388 ]	Validation
45,535	16	Title: DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images Abstract: In recent years, computer-aided diagnosis systems have shown great potential in assisting radiologists with accurate and efficient medical image analysis. This paper presents a novel approach for bone path...	[]	Train
45,536	20	Title: Topological k-metrics Abstract: Metric spaces $(X, d)$ are ubiquitous objects in mathematics and computer science that allow for capturing (pairwise) distance relationships $d(x, y)$ between points $x, y \in X$. Because of this, it is natural to ask what useful generalizations there are of metric spaces for capt...	[]	Validation
45,537	24	Title: Knowledge Distillation-Empowered Digital Twin for Anomaly Detection Abstract: Cyber-physical systems (CPSs), like train control and management systems (TCMS), are becoming ubiquitous in critical infrastructures. As safety-critical systems, ensuring their dependability during operation is crucial. Digital twins (...	[ 41722 ]	Validation
45,538	24	Title: Learning Trees of $\ell_0$-Minimization Problems Abstract: The problem of computing minimally sparse solutions of under-determined linear systems is $NP$ hard in general. Subsets with extra properties, may allow efficient algorithms, most notably problems with the restricted isometry property (RIP) can be solved...	[]	Train
45,539	10	Title: Inferring physical laws by artificial intelligence based causal models Abstract: The advances in Artificial Intelligence (AI) and Machine Learning (ML) have opened up many avenues for scientific research, and are adding new dimensions to the process of knowledge creation. However, even the most powerful and vers...	[]	Train
45,540	6	Title: How Can Mixed Reality Benefit From Physiologically-Adaptive Systems? Challenges and Opportunities for Human Factors Applications Abstract: Mixed Reality (MR) allows users to interact with digital objects in a physical environment, but several limitations have hampered widespread adoption. Physiologically adaptiv...	[]	Train
45,541	15	Title: Reduced-Precision Floating-Point Arithmetic in Systolic Arrays with Skewed Pipelines Abstract: The acceleration of deep-learning kernels in hardware relies on matrix multiplications that are executed efficiently on Systolic Arrays (SA). To effectively trade off deep-learning training/inference quality with hardw...	[ 8969, 25956 ]	Validation
45,542	24	Title: TreeDQN: Learning to minimize Branch-and-Bound tree Abstract: Combinatorial optimization problems require an exhaustive search to find the optimal solution. A convenient approach to solving combinatorial optimization tasks in the form of Mixed Integer Linear Programs is Branch-and-Bound. Branch-and-Bound solver ...	[]	Train
45,543	10	Title: Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report) Abstract: Argumentative explainable AI has been advocated by several in recent years, with an increasing interest on explaining the reasoning outcomes of Argumentation Frameworks (AFs). While there is a consider...	[]	Train
45,544	16	Title: Reassembling Broken Objects using Breaking Curves Abstract: Reassembling 3D broken objects is a challenging task. A robust solution that generalizes well must deal with diverse patterns associated with different types of broken objects. We propose a method that tackles the pairwise assembly of 3D point clouds, t...	[]	Train
45,545	24	Title: A Structural Approach to the Design of Domain Specific Neural Network Architectures Abstract: This is a master's thesis concerning the theoretical ideas of geometric deep learning. Geometric deep learning aims to provide a structured characterization of neural network architectures, specifically focused on the i...	[]	Test
45,546	16	Title: Learnable Ophthalmology SAM Abstract: Segmentation is vital for ophthalmology image analysis. But its various modal images hinder most of the existing segmentation algorithms applications, as they rely on training based on a large number of labels or hold weak generalization ability. Based on Segment Anything (S...	[ 25474, 34047, 5864, 8084, 44854, 40700, 35263 ]	Train
45,547	7	Title: Combination of Measurement Data and Domain Knowledge for Simulation of Halbach Arrays with Bayesian Inference Abstract: Accelerator magnets made from blocks of permanent magnets in a zero-clearance configuration are known as Halbach arrays. The objective of this work is the fusion of knowledge from different mea...	[]	Train
45,548	16	Title: Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection Abstract: Low dynamic range (LDR) cameras cannot deal with wide dynamic range inputs, frequently leading to local overexposure issues. We present a learning-based system to reduce these artifacts without resorting to comple...	[]	Test
45,549	24	Title: An Empirical Study on Fairness Improvement with Multiple Protected Attributes Abstract: Existing research mostly improves the fairness of Machine Learning (ML) software regarding a single protected attribute at a time, but this is unrealistic given that many users have multiple protected attributes. This paper c...	[]	Validation
45,550	24	Title: A large parametrized space of meta-reinforcement learning tasks Abstract: We describe a parametrized space for simple meta-reinforcement-learning (meta-RL) tasks with arbitrary stimuli. The parametrization allows us to randomly generate an arbitrary number of novel simple meta-learning tasks. The space of meta-R...	[ 2465 ]	Test
45,551	16	Title: Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation Abstract: Recent advancements in self-supervised learning have demonstrated that effective visual representations can be learned from unlabeled images. This has led to increased interest in applying self-supervised lea...	[ 27704 ]	Train
45,552	3	Title: Cybersecurity Career Requirements: A Literature Review Abstract: This study employs a systematic literature review approach to identify the requirements of a career as a cybersecurity professional. It aims to raise public awareness regarding opportunities in the Information Security (IS) profession. A total of 1...	[ 8096, 24681 ]	Train
45,553	2	Title: Automated Reasoning for Physical Quantities, Units, and Measurements in Isabelle/HOL Abstract: Formal verification of cyber-physical and robotic systems requires that we can accurately model physical quantities that exist in the real-world. The use of explicit units in such quantities can allow a higher degree o...	[]	Train
45,554	24	Title: Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments Abstract: Deriving robust control policies for realistic urban navigation scenarios is not a trivial task. In an end-to-end approach, these policies must map high-dimensional images...	[]	Train
45,555	23	Title: Fuzzing Automatic Differentiation in Deep-Learning Libraries Abstract: Deep learning (DL) has attracted wide attention and has been widely deployed in recent years. As a result, more and more research efforts have been dedicated to testing DL libraries and frameworks. However, existing work largely overlooked on...	[ 43121, 27365 ]	Train
45,556	24	Title: Nougat: Neural Optical Understanding for Academic Documents Abstract: Scientific knowledge is predominantly stored in books and scientific journals, often in the form of PDFs. However, the PDF format leads to a loss of semantic information, particularly for mathematical expressions. We propose Nougat (Neural Opt...	[]	Train
45,557	13	Title: Spike-driven Transformer Abstract: Spiking Neural Networks (SNNs) provide an energy-efficient deep learning option due to their unique spike-based event-driven (i.e., spike-driven) paradigm. In this paper, we incorporate the spike-driven paradigm into Transformer by the proposed Spike-driven Transformer with fou...	[ 10306, 5960, 13962, 45994, 39185, 27195 ]	Validation
45,558	24	Title: ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines Abstract: Batching has a fundamental influence on the efficiency of deep neural network (DNN) execution. However, for dynamic DNNs, efficient batching is particularly challenging as the dataflow graph varies per i...	[]	Train
45,559	24	Title: Analogical Relevance Index Abstract: Focusing on the most significant features of a dataset is useful both in machine learning (ML) and data mining. In ML, it can lead to a higher accuracy, a faster learning process, and ultimately a simpler and more understandable model. In data mining, identifying significant ...	[]	Train
45,560	5	Title: A Deep Dive into the Google Cluster Workload Traces: Analyzing the Application Failure Characteristics and User Behaviors Abstract: Large-scale cloud data centers have gained popularity due to their high availability, rapid elasticity, scalability, and low cost. However, current data centers continue to have hig...	[]	Train
45,561	16	Title: Recursions Are All You Need: Towards Efficient Deep Unfolding Networks Abstract: The use of deep unfolding networks in compressive sensing (CS) has seen wide success as they provide both simplicity and interpretability. However, since most deep unfolding networks are iterative, this incurs significant redundanci...	[]	Validation
45,562	24	Title: TinyTrain: Deep Neural Network Training at the Extreme Edge Abstract: On-device training is essential for user personalisation and privacy. With the pervasiveness of IoT devices and microcontroller units (MCU), this task becomes more challenging due to the constrained memory and compute resources, and the limite...	[]	Validation
45,563	3	Title: The Gradient of Generative AI Release: Methods and Considerations Abstract: As increasingly powerful generative AI systems are developed, the release method greatly varies. We propose a framework to assess six levels of access to generative AI systems: fully closed; gradual or staged access; hosted access; cloud...	[ 10660, 32550, 30407, 24170, 40586, 22476, 14001, 2930, 40690, 30261, 30421, 13911, 42586, 1337, 32410, 44666, 1917 ]	Train
45,564	23	Title: Rename Chains: An Exploratory Study on the Occurrence and Characteristics of Identifiers Undergoing Multiple Renamings Abstract: Identifier names play a significant role in program comprehension activities, with high-quality names improving developer productivity and system quality. To correct poor-quality names...	[]	Train
45,565	24	Title: Effective Dimension in Bandit Problems under Censorship Abstract: In this paper, we study both multi-armed and contextual bandit problems in censored environments. Our goal is to estimate the performance loss due to censorship in the context of classical algorithms designed for uncensored environments. Our main ...	[]	Validation
45,566	4	Title: Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair Abstract: Decentralized Finance (DeFi) is emerging as a peer-to-peer financial ecosystem, enabling participants to trade products on a permissionless blockchain. Built on blockchain and smart contracts, the DeFi ec...	[ 17648, 36266, 33029 ]	Train
45,567	31	Title: Mood Classification of Bangla Songs Based on Lyrics Abstract: Music can evoke various emotions, and with the advancement of technology, it has become more accessible to people. Bangla music, which portrays different human emotions, lacks sufficient research. The authors of this article aim to analyze Bangla song...	[]	Train
45,568	16	Title: Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning Abstract: The recent surge in large-scale foundation models has spurred the development of efficient methods for adapting these models to various downstream tasks. Low-rank adaptation methods, such as LoRA, have gained significant attentio...	[ 32635, 38796, 37070 ]	Train
45,569	10	Title: Generalized Planning as Heuristic Search: A new planning search-space that leverages pointers over objects Abstract: Planning as heuristic search is one of the most successful approaches to classical planning but unfortunately, it does not extend trivially to Generalized Planning (GP). GP aims to compute algorit...	[]	Train
45,570	4	Title: On Differential Privacy and Adaptive Data Analysis with Bounded Space Abstract: We study the space complexity of the two related fields of differential privacy and adaptive data analysis. Specifically, (1) Under standard cryptographic assumptions, we show that there exists a problem P that requires exponentially...	[ 6976, 939, 29709, 16495, 24603 ]	Test
45,571	16	Title: Dual Feedback Attention Framework via Boundary-Aware Auxiliary and Progressive Semantic Optimization for Salient Object Detection in Optical Remote Sensing Imagery Abstract: Salient object detection in optical remote sensing image (ORSI-SOD) has gradually attracted attention thanks to the development of deep lea...	[]	Train
45,572	24	Title: Black-Box Targeted Reward Poisoning Attack Against Online Deep Reinforcement Learning Abstract: We propose the first black-box targeted attack against online deep reinforcement learning through reward poisoning during training time. Our attack is applicable to general environments with unknown dynamics learned b...	[]	Validation
45,573	30	Title: VECO 2.0: Cross-lingual Language Model Pre-training with Multi-granularity Contrastive Learning Abstract: Recent studies have demonstrated the potential of cross-lingual transferability by training a unified Transformer encoder for multiple languages. In addition to involving the masked language model objective,...	[]	Test
45,574	33	Title: Canonical Algebraic Generators in Automata Learning Abstract: Many methods for the verification of complex computer systems require the existence of a tractable mathematical abstraction of the system, often in the form of an automaton. In reality, however, such a model is hard to come up with, in particular manu...	[]	Train
45,575	23	Title: Enhancing Deep Learning with Scenario-Based Override Rules: a Case Study Abstract: Deep neural networks (DNNs) have become a crucial instrument in the software development toolkit, due to their ability to efficiently solve complex problems. Nevertheless, DNNs are highly opaque, and can behave in an unexpected ma...	[]	Test
45,576	25	Title: Multiscale Audio Spectrogram Transformer for Efficient Audio Classification Abstract: Audio event has a hierarchical architecture in both time and frequency and can be grouped together to construct more abstract semantic audio classes. In this work, we develop a multiscale audio spectrogram Transformer (MAST) th...	[ 36454 ]	Test
45,577	30	Title: Iterative Forward Tuning Boosts In-context Learning in Language Models Abstract: Large language models (LLMs) have exhibited an emergent in-context learning (ICL) ability. However, the ICL models that can solve ordinary cases are hardly extended to solve more complex tasks by processing the demonstration example...	[ 33220, 26578, 6963, 44019, 33464, 17789, 43327 ]	Test

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