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
30,278	30	Title: RRWKV: Capturing Long-range Dependencies in RWKV Abstract: Owing to the impressive dot-product attention, the Transformers have been the dominant architectures in various natural language processing (NLP) tasks. Recently, the Receptance Weighted Key Value (RWKV) architecture follows a non-transformer architectur...	[ 45695 ]	Train
30,279	27	Title: GeoLCR: Attention-based Geometric Loop Closure and Registration Abstract: We present a novel algorithm specially designed for loop detection and registration that utilizes Lidar-based perception. Our approach to loop detection involves voxelizing point clouds, followed by an overlap calculation to confirm whethe...	[]	Train
30,280	30	Title: SCOTT: Self-Consistent Chain-of-Thought Distillation Abstract: Large language models (LMs) beyond a certain scale, demonstrate the emergent capability of generating free-text rationales for their predictions via chain-of-thought (CoT) prompting.While CoT can yield dramatically improved performance, such gains ar...	[ 27537, 6979, 28606, 22391 ]	Test
30,281	36	Title: Keep-Alive Caching for the Hawkes process Abstract: We study the design of caching policies in applications such as serverless computing where there is not a fixed size cache to be filled, but rather there is a cost associated with the time an item stays in the cache. We present a model for such caching policies...	[]	Test
30,282	30	Title: On the Planning, Search, and Memorization Capabilities of Large Language Models Abstract: The rapid advancement of large language models, such as the Generative Pre-trained Transformer (GPT) series, has had significant implications across various disciplines. In this study, we investigate the potential of the st...	[ 33220, 24308, 15301 ]	Validation
30,283	30	Title: Semantic Frame Induction with Deep Metric Learning Abstract: Recent studies have demonstrated the usefulness of contextualized word embeddings in unsupervised semantic frame induction. However, they have also revealed that generic contextualized embeddings are not always consistent with human intuitions about se...	[ 45818 ]	Test
30,284	2	Title: Qualitative uncertainty and dynamics of argumentation through dynamic logic Abstract: Dynamics and uncertainty are essential features of real-life argumentation, and many recent studies have focused on integrating both aspects into Dung's well-known abstract Argumentation Frameworks (AFs). This paper proposes a ...	[]	Train
30,285	30	Title: PromptSum: Parameter-Efficient Controllable Abstractive Summarization Abstract: Prompt tuning (PT), a parameter-efficient technique that only tunes the additional prompt embeddings while keeping the backbone pre-trained language model (PLM) frozen, has shown promising results in language understanding tasks, esp...	[]	Train
30,286	8	Title: RegTraffic: A Regression based Traffic Simulator for Spatiotemporal Traffic Modeling, Simulation and Visualization Abstract: Traffic simulation is a great tool to demonstrate complex traffic structures which can be extremely useful for the planning, development, and management of road traffic networks. Current t...	[]	Train
30,287	34	Title: Finding Small Complete Subgraphs Efficiently Abstract: nan	[]	Train
30,288	30	Title: Emotion-Cause Pair Extraction as Question Answering Abstract: The task of Emotion-Cause Pair Extraction (ECPE) aims to extract all potential emotion-cause pairs of a document without any annotation of emotion or cause clauses. Previous approaches on ECPE have tried to improve conventional two-step processing sch...	[]	Test
30,289	30	Title: Toward Interactive Dictation Abstract: Voice dictation is an increasingly important text input modality. Existing systems that allow both dictation and editing-by-voice restrict their command language to flat templates invoked by trigger words. In this work, we study the feasibility of allowing users to interrup...	[]	Validation
30,290	30	Title: Neural Architecture Search for Effective Teacher-Student Knowledge Transfer in Language Models Abstract: Large pre-trained language models have achieved state-of-the-art results on a variety of downstream tasks. Knowledge Distillation (KD) of a smaller student model addresses their inefficiency, allowing for dep...	[ 41106 ]	Train
30,291	5	Title: Multi-directional Sobel operator kernel on GPUs Abstract: Sobel is one of the most popular edge detection operators used in image processing. To date, most users utilize the two-directional 3x3 Sobel operator as detectors because of its low computational cost and reasonable performance. Simultaneously, many stud...	[]	Test
30,292	30	Title: GCRE-GPT: A Generative Model for Comparative Relation Extraction Abstract: Given comparative text, comparative relation extraction aims to extract two targets (\eg two cameras) in comparison and the aspect they are compared for (\eg image quality). The extracted comparative relations form the basis of further op...	[]	Train
30,293	16	Title: Half of an image is enough for quality assessment Abstract: Deep networks have demonstrated promising results in the field of Image Quality Assessment (IQA). However, there has been limited research on understanding how deep models in IQA work. This study introduces a novel positional masked transformer for IQA ...	[]	Train
30,294	16	Title: TMA: Temporal Motion Aggregation for Event-based Optical Flow Abstract: Event cameras have the ability to record continuous and detailed trajectories of objects with high temporal resolution, thereby providing intuitive motion cues for optical flow estimation. Nevertheless, most existing learning-based approache...	[ 33359 ]	Train
30,295	16	Title: Category Query Learning for Human-Object Interaction Classification Abstract: Unlike most previous HOI methods that focus on learning better human-object features, we propose a novel and complementary approach called category query learning. Such queries are explicitly associated to interaction categories, conve...	[]	Validation
30,296	23	Title: Improving BIM Authoring Process Reproducibility with Enhanced BIM Logging Abstract: This paper presents an enhanced building information modeling (BIM) logger that captures building element geometry and attributes to accurately represent the BIM authoring process. The authors developed the logger and reproducing...	[]	Test
30,297	30	Title: JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications Abstract: Contrastive learning is widely used for sentence representation learning. Despite this prevalence, most studies have focused exclusively on English and few concern domain adaptation for domain-specific downstream tasks, esp...	[]	Test
30,298	27	Title: Automatic Routing System for Intelligent Warehouses Abstract: Automation of logistic processes is essential to improve productivity and reduce costs. In this context, intelligent warehouses are becoming a key to logistic systems thanks to their ability of optimizing transportation tasks and, consequently, reduci...	[]	Validation
30,299	34	Title: Set Covering with Our Eyes Wide Shut Abstract: In the stochastic set cover problem (Grandoni et al., FOCS '08), we are given a collection $\mathcal{S}$ of $m$ sets over a universe $\mathcal{U}$ of size $N$, and a distribution $D$ over elements of $\mathcal{U}$. The algorithm draws $n$ elements one-by-one from $D...	[]	Train
30,300	22	Title: Frex: dependently-typed algebraic simplification Abstract: We present an extensible, mathematically-structured algebraic simplification library design. We structure the library using universal algebraic concepts: a free algebra -- fral -- and a free extension -- frex -- of an algebra by a set of variables. The l...	[]	Train
30,301	30	Title: MUG: A General Meeting Understanding and Generation Benchmark Abstract: Listening to long video/audio recordings from video conferencing and online courses for acquiring information is extremely inefficient. Even after ASR systems transcribe recordings into long-form spoken language documents, reading ASR transc...	[ 31017 ]	Test
30,302	17	Title: Intrinsic Mesh Simplification Abstract: This paper presents a novel simplification method for removing vertices from an intrinsic triangulation corresponding to extrinsic vertices lying on near-developable (i.e., with limited Gaussian curvature) and general surfaces. We greedily process all intrinsic vertices wi...	[]	Test
30,303	36	Title: Efficient-Q Learning for Stochastic Games Abstract: We present the new efficient-Q learning dynamics for stochastic games beyond the recent concentration of progress on provable convergence to possibly inefficient equilibrium. We let agents follow the log-linear learning dynamics in stage games whose payoffs are...	[ 41266 ]	Train
30,304	16	Title: Confidence-driven Bounding Box Localization for Small Object Detection Abstract: Despite advancements in generic object detection, there remains a performance gap in detecting small objects compared to normal-scale objects. We for the first time observe that existing bounding box regression methods tend to produ...	[]	Train
30,305	27	Title: FRAME: Fast and Robust Autonomous 3D Point Cloud Map-Merging for Egocentric Multi-Robot Exploration Abstract: This article presents a 3D point cloud map-merging framework for egocentric heterogeneous multi-robot exploration, based on overlap detection and alignment, that is independent of a manual initial guess ...	[ 17435 ]	Train
30,306	1	Title: FSVVD: A Dataset of Full Scene Volumetric Video Abstract: Recent years have witnessed a rapid development of immersive multimedia which bridges the gap between the real world and virtual space. Volumetric videos, as an emerging representative 3D video paradigm that empowers extended reality, stand out to provide...	[ 10651, 40875 ]	Test
30,307	4	Title: SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency Abstract: Deep neural networks (DNNs) are vulnerable to backdoor attacks, where adversaries embed a hidden backdoor trigger during the training process for malicious prediction manipulation. These attacks ...	[ 19680, 31944, 12751, 11857, 4917, 38363, 28441, 7739 ]	Test
30,308	16	Title: Eliminating Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion Abstract: The recent success of text-to-image generation diffusion models has also revolutionized semantic image editing, enabling the manipulation of images based on query/target texts. Despite these advancements, a significant challenge...	[]	Test
30,309	16	Title: MMRDN: Consistent Representation for Multi-View Manipulation Relationship Detection in Object-Stacked Scenes Abstract: Manipulation relationship detection (MRD) aims to guide the robot to grasp objects in the right order, which is important to ensure the safety and reliability of grasping in object stacked scene...	[]	Train
30,310	16	Title: Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping Abstract: Detection of mitosis events plays an important role in biomedical research. Deep-learning-based mitosis detection methods have achieved outstanding performance with a certain amount of labeled data. However, these ...	[]	Train
30,311	28	Title: Using the Shapes Constraint Language for modelling regulatory requirements Abstract: Ontologies are traditionally expressed in the Web Ontology Language (OWL), that provides a syntax for expressing taxonomies with axioms regulating class membership. The semantics of OWL, based on Description Logic (DL), allows f...	[]	Test
30,312	16	Title: Fast Diffusion Model Abstract: Despite their success in real data synthesis, diffusion models (DMs) often suffer from slow and costly training and sampling issues, limiting their broader applications. To mitigate this, we propose a Fast Diffusion Model (FDM) which improves the diffusion process of DMs from a sto...	[ 21152, 40833, 12515, 8308, 17526, 5278 ]	Train
30,313	28	Title: Probabilistic Shaping for Asymmetric Channels and Low-Density Parity-Check Codes Abstract: An algorithm is proposed to encode low-density parity-check (LDPC) codes into codewords with a non-uniform distribution. This enables power-efficient signalling for asymmetric channels. We show gains of 0.9 dB for additive...	[]	Train
30,314	26	Title: Heterogeneous Social Event Detection via Hyperbolic Graph Representations Abstract: Social events reflect the dynamics of society and, here, natural disasters and emergencies receive significant attention. The timely detection of these events can provide organisations and individuals with valuable information to...	[]	Train
30,315	30	Title: Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency Abstract: With growing capabilities of large language models, prompting them has become the dominant way to access them. This has motivated the development of strategies for automatically selecting effective language prompts. In this paper, ...	[ 41686 ]	Train
30,316	16	Title: Real-World Denoising via Diffusion Model Abstract: Real-world image denoising is an extremely important image processing problem, which aims to recover clean images from noisy images captured in natural environments. In recent years, diffusion models have achieved very promising results in the field of image gen...	[]	Validation
30,317	16	Title: INF: Implicit Neural Fusion for LiDAR and Camera Abstract: Sensor fusion has become a popular topic in robotics. However, conventional fusion methods encounter many difficulties, such as data representation differences, sensor variations, and extrinsic calibration. For example, the calibration methods used for L...	[ 40389 ]	Train
30,318	28	Title: Achieving Capacity on Non-Binary Channels with Generalized Reed–Muller Codes Abstract: Recently, the authors showed that Reed–Muller (RM) codes achieve capacity on binary memoryless symmetric (BMS) channels with respect to bit error rate. This paper extends that work by showing that RM codes defined on non-binar...	[ 15310 ]	Test
30,319	10	Title: Evaluating Visual Number Discrimination in Deep Neural Networks Abstract: The ability to discriminate between large and small quantities is a core aspect of basic numerical competence in both humans and animals. In this work, we examine the extent to which the state-of-the-art neural networks designed for vision...	[]	Train
30,320	24	Title: When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Abstract: The intersection of the Foundation Model (FM) and Federated Learning (FL) provides mutual benefits, presents a unique opportunity to unlock new possibilities in AI research, and address critical challenges in...	[ 5378, 13700, 22540, 33166, 31137, 549, 13224, 31275, 45104, 30643, 14133, 45752, 41278, 33220, 32712, 1610, 12108, 29396, 12027, 13801, 27896, 18683, 42494 ]	Train
30,321	25	Title: Systematic Analysis of Music Representations from BERT Abstract: There have been numerous attempts to represent raw data as numerical vectors that effectively capture semantic and contextual information. However, in the field of symbolic music, previous works have attempted to validate their music embeddings by ...	[]	Train
30,322	4	Title: Short Squeeze in DeFi Lending Market: Decentralization in Jeopardy? Abstract: Anxiety levels in the Aave community spiked in November 2022 as Avi Eisenberg performed an attack on Aave. Eisenberg attempted to short the CRV token by using funds borrowed on the protocol to artificially deflate the value of CRV. Whi...	[]	Validation
30,323	30	Title: SCALE: Scaling up the Complexity for Advanced Language Model Evaluation Abstract: Recent strides in Large Language Models (LLMs) have saturated many NLP benchmarks (even professional domain-specific ones), emphasizing the need for novel, more challenging novel ones to properly assess LLM capabilities. In this pa...	[ 25953, 13700, 31717, 26282, 20715, 33836, 24308, 41239, 38904, 43641, 634 ]	Train
30,324	24	Title: A Survey of Techniques for Optimizing Transformer Inference Abstract: Recent years have seen a phenomenal rise in performance and applications of transformer neural networks. The family of transformer networks, including Bidirectional Encoder Representations from Transformer (BERT), Generative Pretrained Transfo...	[ 6754, 453, 37070, 32944, 12851, 44374, 36887 ]	Train
30,325	30	Title: Text Injection for Capitalization and Turn-Taking Prediction in Speech Models Abstract: Text injection for automatic speech recognition (ASR), wherein unpaired text-only data is used to supplement paired audio-text data, has shown promising improvements for word error rate. This study examines the use of text in...	[]	Train
30,326	4	Title: Digital Forensics in the Age of Smart Environments: A Survey of Recent Advancements and Challenges Abstract: Digital forensics in smart environments is an emerging field that deals with the investigation and analysis of digital evidence in smart devices and environments. As smart environments continue to evolve,...	[ 32688 ]	Train
30,327	16	Title: CNN based Cuneiform Sign Detection Learned from Annotated 3D Renderings and Mapped Photographs with Illumination Augmentation Abstract: Motivated by the challenges of the Digital Ancient Near Eastern Studies (DANES) community, we develop digital tools for processing cuneiform script being a 3D script imprinted i...	[]	Train
30,328	27	Title: Embodied Footprints: A Safety-guaranteed Collision Avoidance Model for Numerical Optimization-based Trajectory Planning Abstract: Optimization-based methods are commonly applied in autonomous driving trajectory planners, which transform the continuous-time trajectory planning problem into a finite nonlinear prog...	[]	Train
30,329	27	Title: The CRAM Cognitive Architecture for Robot Manipulation in Everyday Activities Abstract: This paper presents a hybrid robot cognitive architecture, CRAM, that enables robot agents to accomplish everyday manipulation tasks. It addresses five key challenges that arise when carrying out everyday activities. These in...	[]	Train
30,330	28	Title: In search of maximum non-overlapping codes Abstract: Non-overlapping codes are block codes that have arisen in diverse contexts of computer science and biology. Applications typically require finding non-overlapping codes with large cardinalities, but the maximum size of non-overlapping codes has been determined...	[]	Train
30,331	30	Title: Jump to Conclusions: Short-Cutting Transformers With Linear Transformations Abstract: Transformer-based language models (LMs) create hidden representations of their inputs at every layer, but only use final-layer representations for prediction. This obscures the internal decision-making process of the model and ...	[ 13955, 24134, 41766, 3601, 46002, 31256, 19870, 45023 ]	Validation
30,332	7	Title: Rigid3D: a hybrid multi-sphere DEM framework for simulation of non-spherical particles in multi-phase flow Abstract: This article presents the development and validation of a hybrid multi-sphere discrete element framework - Rigid3D, for the simulation of granular systems with arbitrarily shaped particles in 3D s...	[]	Test
30,333	6	Title: ZotCare: A Flexible, Personalizable, and Affordable mHealth Service Provider Abstract: The proliferation of Internet-connected health devices and the widespread availability of mobile connectivity have resulted in a wealth of reliable digital health data and the potential for delivering just-in-time intervention...	[ 3916 ]	Train
30,334	24	Title: Personalized Federated Learning with Feature Alignment and Classifier Collaboration Abstract: Data heterogeneity is one of the most challenging issues in federated learning, which motivates a variety of approaches to learn personalized models for participating clients. One such approach in deep neural networks b...	[ 20122, 39483, 39703, 2687 ]	Train
30,335	36	Title: Colordag: An Incentive-Compatible Blockchain Abstract: We present Colordag, a blockchain protocol where following the prescribed strategy is, with high probability, a best response as long as all miners have less than 1/2 of the mining power. We prove the correctness of Colordag even if there is an extremely pow...	[]	Train
30,336	30	Title: Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity Abstract: Mixture-of-experts (MoE) models that employ sparse activation have demonstrated effectiveness in significantly increasing the number of parameters while maintaining low computational requirements per to...	[ 1012 ]	Test
30,337	24	Title: Defending Label Inference Attacks in Split Learning under Regression Setting Abstract: As a privacy-preserving method for implementing Vertical Federated Learning, Split Learning has been extensively researched. However, numerous studies have indicated that the privacy-preserving capability of Split Learning is ...	[ 33473, 28226 ]	Train
30,338	24	Title: (Un)reasonable Allure of Ante-hoc Interpretability for High-stakes Domains: Transparency Is Necessary but Insufficient for Comprehensibility Abstract: Ante-hoc interpretability has become the holy grail of explainable artificial intelligence for high-stakes domains such as healthcare; however, this notion is elu...	[ 45331, 6239 ]	Train
30,339	16	Title: FUSegNet: A Deep Convolutional Neural Network for Foot Ulcer Segmentation Abstract: This paper presents FUSegNet, a new model for foot ulcer segmentation in diabetes patients, which uses the pre-trained EfficientNet-b7 as a backbone to address the issue of limited training samples. A modified spatial and channel...	[ 33082 ]	Test
30,340	6	Title: Human-Behavior-Based Personalized Meal Recommendation and Menu Planning Social System Abstract: The traditional dietary recommendation systems are basically nutrition or health-aware where the human feelings on food are ignored. Human affects vary when it comes to food cravings, and not all foods are appealing i...	[]	Train
30,341	24	Title: Unsupervised Episode Generation for Graph Meta-learning Abstract: In this paper, we investigate Unsupervised Episode Generation methods to solve Few-Shot Node-Classification (FSNC) problem via Meta-learning without labels. Dominant meta-learning methodologies for FSNC were developed under the existence of abunda...	[]	Train
30,342	34	Title: Online Interval Scheduling with Predictions Abstract: In online interval scheduling, the input is an online sequence of intervals, and the goal is to accept a maximum number of non-overlapping intervals. In the more general disjoint path allocation problem, the input is a sequence of requests, each involving a p...	[]	Validation
30,343	16	Title: Zero-shot Text-driven Physically Interpretable Face Editing Abstract: This paper proposes a novel and physically interpretable method for face editing based on arbitrary text prompts. Different from previous GAN-inversion-based face editing methods that manipulate the latent space of GANs, or diffusion-based met...	[]	Validation
30,344	31	Title: REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation Abstract: Explainable recommendation has attracted much attention from the industry and academic communities. It has shown great potential for improving the recomme...	[]	Train
30,345	22	Title: Specifying and Verifying Persistent Libraries Abstract: We present a general framework for specifying and verifying persistent libraries, that is, libraries of data structures that provide some persistency guarantees upon a failure of the machine they are executing on. Our framework enables modular reasoning abo...	[]	Test
30,346	36	Title: Fair Division of a Graph into Compact Bundles Abstract: We study the computational complexity of fair division of indivisible items in an enriched model: there is an underlying graph on the set of items. And we have to allocate the items (i.e., the vertices of the graph) to a set of agents in such a way that (a)...	[]	Train
30,347	16	Title: Self-Supervised Representation Learning from Temporal Ordering of Automated Driving Sequences Abstract: Self-supervised feature learning enables perception systems to benefit from the vast amount of raw data being recorded by vehicle fleets all over the world. However, their potential to learn dense representati...	[ 36553 ]	Train
30,348	16	Title: Does Image Anonymization Impact Computer Vision Training? Abstract: Image anonymization is widely adapted in practice to comply with privacy regulations in many regions. However, anonymization often degrades the quality of the data, reducing its utility for computer vision development. In this paper, we investig...	[ 41707 ]	Train
30,349	34	Title: Recoverable Robust Optimization with Commitment Abstract: We propose a model for recoverable robust optimization with commitment. Given a combinatorial optimization problem and uncertainty about elements that may fail, we ask for a robust solution that, after the failing elements are revealed, can be augmented i...	[]	Train
30,350	16	Title: A Study on Quantifying Sim2Real Image Gap in Autonomous Driving Simulations Using Lane Segmentation Attention Map Similarity Abstract: Autonomous driving simulations require highly realistic images. Our preliminary study found that when the CARLA Simulator image was made more like reality by using DCLGAN, the pe...	[]	Train
30,351	27	Title: A Reinforcement Learning Approach for Robotic Unloading from Visual Observations Abstract: In this work, we focus on a robotic unloading problem from visual observations, where robots are required to autonomously unload stacks of parcels using RGB-D images as their primary input source. While supervised and imit...	[]	Train
30,352	16	Title: Feature Adversarial Distillation for Point Cloud Classification Abstract: Due to the point cloud's irregular and unordered geometry structure, conventional knowledge distillation technology lost a lot of information when directly used on point cloud tasks. In this paper, we propose Feature Adversarial Distillati...	[]	Test
30,353	16	Title: E-CLIP: Towards Label-efficient Event-based Open-world Understanding by CLIP Abstract: Contrasting Language-image pertaining (CLIP) has recently shown promising open-world and few-shot performance on 2D image-based recognition tasks. However, the transferred capability of CLIP to the novel event camera data stil...	[ 10624, 1063, 32777, 15626, 28652, 23280, 32470, 6556 ]	Test
30,354	13	Title: FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization Abstract: Spiking neural networks (SNNs) have been widely used due to their strong biological interpretability and high-energy efficiency. With the introduction of the backpropagation algorithm ...	[ 22536 ]	Train
30,355	16	Title: TAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems Abstract: nan	[]	Train
30,356	30	Title: Using Artificial Populations to Study Psychological Phenomena in Neural Models Abstract: The recent proliferation of research into transformer based natural language processing has led to a number of studies which attempt to detect the presence of human-like cognitive behavior in the models. We contend that, as ...	[ 25924, 13510, 43566, 36528, 21401, 6010 ]	Validation
30,357	24	Title: Recurrent Neural Networks and Long Short-Term Memory Networks: Tutorial and Survey Abstract: This is a tutorial paper on Recurrent Neural Network (RNN), Long Short-Term Memory Network (LSTM), and their variants. We start with a dynamical system and backpropagation through time for RNN. Then, we discuss the probl...	[ 38067 ]	Test
30,358	16	Title: Multi-resolution Spatiotemporal Enhanced Transformer Denoising with Functional Diffusive GANs for Constructing Brain Effective Connectivity in MCI analysis Abstract: Effective connectivity can describe the causal patterns among brain regions. These patterns have the potential to reveal the pathological mechanism...	[]	Validation
30,359	24	Title: FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models Abstract: In a vertical federated learning (VFL) system consisting of a central server and many distributed clients, the training data are vertically partitioned such that different features are privately stored on dif...	[]	Train
30,360	16	Title: Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models Abstract: Recent text-to-image (T2I) diffusion models show outstanding performance in generating high-quality images conditioned on textual prompts. However, these models fail to semantically align the generated images with the ...	[ 20514, 43867, 21828, 41146, 34074, 24763, 8051, 10070, 34522, 3067, 15132, 28382, 14047 ]	Test
30,361	6	Title: Synthesizing Affective Neurophysiological Signals Using Generative Models: A Review Paper Abstract: The integration of emotional intelligence in machines is an important step in advancing human-computer interaction. This demands the development of reliable end-to-end emotion recognition systems. However, the sca...	[]	Train
30,362	30	Title: A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding Abstract: We provide a literature review about Automatic Text Summarization (ATS) systems. We consider a citation-based approach. We start with some popular and well-known papers that we have in hand about each...	[ 17349 ]	Train
30,363	11	Title: Measuring and Controlling Divisiveness in Rank Aggregation Abstract: In rank aggregation, members of a population rank issues to decide which are collectively preferred. We focus instead on identifying divisive issues that express disagreements among the preferences of individuals. We analyse the properties of o...	[]	Train
30,364	10	Title: REX: Rapid Exploration and eXploitation for AI Agents Abstract: In this paper, we propose an enhanced approach for Rapid Exploration and eXploitation for AI Agents called REX. Existing AutoGPT-style techniques have inherent limitations, such as a heavy reliance on precise descriptions for decision-making, and th...	[ 40154, 402, 33477, 12606 ]	Train
30,365	34	Title: Quantum Tutte Embeddings Abstract: Using the framework of Tutte embeddings, we begin an exploration of \emph{quantum graph drawing}, which uses quantum computers to visualize graphs. The main contributions of this paper include formulating a model for quantum graph drawing, describing how to create a graph-drawi...	[]	Train
30,366	30	Title: ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer Abstract: While state-of-the-art language models excel at the style transfer task, current work does not address explainability of style transfer systems. Explanations could be generated using large language models such as GPT-3.5 and...	[ 13345, 17789, 13700, 25892, 33220, 22476, 109, 4111, 26673, 36179, 564, 3861, 12628, 25367, 3289, 38235, 9821 ]	Validation
30,367	24	Title: Unified Functional Hashing in Automatic Machine Learning Abstract: The field of Automatic Machine Learning (AutoML) has recently attained impressive results, including the discovery of state-of-the-art machine learning solutions, such as neural image classifiers. This is often done by applying an evolutionary se...	[ 39628 ]	Train
30,368	24	Title: Continuous-Time q-learning for McKean-Vlasov Control Problems Abstract: This paper studies the q-learning, recently coined as the continuous time counterpart of Q-learning by Jia and Zhou (2023), for continuous time Mckean-Vlasov control problems in the setting of entropy-regularized reinforcement learning. In c...	[]	Test
30,369	8	Title: TransNFV: Integrating Transactional Semantics for Efficient State Management in Virtual Network Functions Abstract: Managing shared mutable states in high concurrency state access operations is a persistent challenge in Network Functions Virtualization (NFV). This is particularly true when striving to meet chain...	[]	Train
30,370	24	Title: Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets Abstract: Despite the recent advancements in offline reinforcement learning via supervised learning (RvS) and the success of the decision transformer (DT) architecture in various domains, DTs have fallen short in sever...	[]	Train
30,371	27	Title: Autonomous Slalom Maneuver Based on Expert Drivers’ Behavior Using Convolutional Neural Network Abstract: Lane changing and obstacle avoidance are one of the most important tasks in automated cars. To date, many algorithms have been suggested that are generally based on path trajectory or reinforcement learning ...	[]	Train
30,372	24	Title: Identification of Nonlinear Latent Hierarchical Models Abstract: Identifying latent variables and causal structures from observational data is essential to many real-world applications involving biological data, medical data, and unstructured data such as images and languages. However, this task can be highly ch...	[ 29721 ]	Train
30,373	36	Title: Chore Cutting: Envy and Truth Abstract: We study the fair division of divisible bad resources with strategic agents who can manipulate their private information to get a better allocation. Within certain constraints, we are particularly interested in whether truthful envy-free mechanisms exist over piecewise con...	[]	Train
30,374	24	Title: Iterative Assessment and Improvement of DNN Operational Accuracy Abstract: Deep Neural Networks (DNN) are nowadays largely adopted in many application domains thanks to their human-like, or even superhuman, performance in specific tasks. However, due to unpredictable/unconsidered operating conditions, unexpected...	[]	Validation
30,375	24	Title: EspalomaCharge: Machine learning-enabled ultra-fast partial charge assignment Abstract: Atomic partial charges are crucial parameters in molecular dynamics (MD) simulation, dictating the electrostatic contributions to intermolecular energies, and thereby the potential energy landscape. Traditionally, the assignm...	[ 33624 ]	Test
30,376	24	Title: Don't Play Favorites: Minority Guidance for Diffusion Models Abstract: We explore the problem of generating minority samples using diffusion models. The minority samples are instances that lie on low-density regions of a data manifold. Generating sufﬁcient numbers of such minority instances is important, since t...	[ 8308, 17734 ]	Train
30,377	30	Title: VAKTA-SETU: A Speech-to-Speech Machine Translation Service in Select Indic Languages Abstract: In this work, we present our deployment-ready Speech-to-Speech Machine Translation (SSMT) system for English-Hindi, English-Marathi, and Hindi-Marathi language pairs. We develop the SSMT system by cascading Automatic S...	[ 16408 ]	Train

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