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
34,778	16	Title: Decomposition of linear tensor transformations Abstract: One of the main issues in computing a tensor decomposition is how to choose the number of rank-one components, since there is no finite algorithms for determining the rank of a tensor. A commonly used approach for this purpose is to find a low-dimensional ...	[]	Test
34,779	24	Title: CausalLM is not optimal for in-context learning Abstract: Recent empirical evidence indicates that transformer based in-context learning performs better when using a prefix language model (prefixLM), in which in-context samples can all attend to each other, compared to causal language models (causalLM), which us...	[ 19433, 3795, 29396, 25833 ]	Validation
34,780	16	Title: A geometry-aware deep network for depth estimation in monocular endoscopy Abstract: nan	[]	Test
34,781	27	Title: Giving life to robotic skins Abstract: nan	[]	Train
34,782	23	Title: Requirements Analysis of Variability Constraints in a Configurable Flight Software System Abstract: Variability constraints are an integral part of the requirements for a configurable system. The constraints specified in the requirements on the legal combinations of options define the space of potential valid co...	[]	Train
34,783	30	Title: CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care Abstract: The recent advances in natural language processing (NLP), have led to a new trend of applying large language models (LLMs) to real-world scenarios. While the latest LLMs are astonishingly fluent when interacting with ...	[ 14592, 13345, 33220, 13700, 37806, 24760, 35580 ]	Validation
34,784	6	Title: Spoken Humanoid Embodied Conversational Agents in Mobile Serious Games: A Usability Assessment Abstract: This paper presents an empirical investigation of the extent to which spoken Humanoid Embodied Conversational Agents (HECAs) can foster usability in mobile serious game (MSG) applications. The aim of the rese...	[]	Train
34,785	30	Title: Citations as Queries: Source Attribution Using Language Models as Rerankers Abstract: This paper explores new methods for locating the sources used to write a text, by fine-tuning a variety of language models to rerank candidate sources. After retrieving candidates sources using a baseline BM25 retrieval model, ...	[]	Train
34,786	30	Title: Emergent inabilities? Inverse scaling over the course of pretraining Abstract: Does inverse scaling only occur as a function of model parameter size, or can it also occur over the course of training? We carry out an exploratory study investigating whether, over the course of training on the language modeling tas...	[ 13700, 29375 ]	Validation
34,787	24	Title: Is Distance Matrix Enough for Geometric Deep Learning? Abstract: Graph Neural Networks (GNNs) are often used for tasks involving the 3D geometry of a given graph, such as molecular dynamics simulation. Although the distance matrix of a geometric graph contains complete geometric information, it has been demonstr...	[ 37313, 15594, 8660, 12378, 36699 ]	Test
34,788	4	Title: Membership Inference Attacks against Diffusion Models Abstract: Diffusion models have attracted attention in recent years as innovative generative models. In this paper, we investigate whether a diffusion model is resistant to a membership inference attack, which evaluates the privacy leakage of a machine learni...	[ 32928, 38398, 45104, 6513, 4978, 7282, 43508, 3413, 15061, 36667, 3548, 22334 ]	Train
34,789	16	Title: A Hybrid 3D Eddy Detection Technique Based on Sea Surface Height and Velocity Field Abstract: Eddy detection is a critical task for ocean scientists to understand and analyze ocean circulation. In this paper, we introduce a hybrid eddy detection approach that combines sea surface height (SSH) and velocity fields...	[]	Train
34,790	28	Title: On partial monotonicity of some extropy measures Abstract: Gupta and Chaudhary [14] introduced general weighted extropy and studied related properties. In this paper, we study conditional extropy and deﬁne the monotonic behaviour of conditional extropy. Also, we obtain results on the convolution of general weigh...	[]	Test
34,791	31	Title: Searching Mobile App Screens via Text + Doodle Abstract: Locating a specific mobile application screen from existing repositories is restricted to basic keyword searches, such as Google Image Search, or necessitates a complete query screen image, as in the case of Swire. However, interactive partial sketch-based...	[]	Train
34,792	16	Title: MMVP: Motion-Matrix-based Video Prediction Abstract: A central challenge of video prediction lies where the system has to reason the objects' future motions from image frames while simultaneously maintaining the consistency of their appearances across frames. This work introduces an end-to-end trainable two-stre...	[]	Validation
34,793	16	Title: The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study Abstract: Skin cancer, a deadly form of cancer, exhibits a 23\% survival rate in the USA with late diagnosis. Early detection can significantly increase the survival rate, and facilitate timely treatment. Acc...	[]	Train
34,794	36	Title: Sequential Bayesian Learning with A Self-Interested Coordinator Abstract: Social learning refers to the process by which networked strategic agents learn an unknown state of the world by observing private state-related signals as well as other agents' actions. In their classic work, Bikhchandani, Hirshleifer and...	[]	Train
34,795	30	Title: Enhancing Unsupervised Speech Recognition with Diffusion GANs Abstract: We enhance the vanilla adversarial training method for unsupervised Automatic Speech Recognition (ASR) by a diffusion-GAN. Our model (1) injects instance noises of various intensities to the generator's output and unlabeled reference text wh...	[]	Train
34,796	10	Title: Causality Detection for Efficient Multi-Agent Reinforcement Learning Abstract: When learning a task as a team, some agents in Multi-Agent Reinforcement Learning (MARL) may fail to understand their true impact in the performance of the team. Such agents end up learning sub-optimal policies, demonstrating undesire...	[]	Validation
34,797	23	Title: CHESS: A Framework for Evaluation of Self-Adaptive Systems Based on Chaos Engineering Abstract: There is an increasing need to assess the correct behavior of self-adaptive and self-healing systems due to their adoption in critical and highly dynamic environments. However, there is a lack of systematic evaluation...	[]	Train
34,798	16	Title: Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions Abstract: In this paper, our goal is to design a simple learning paradigm for long-tail visual recognition, which not only improves the robustness of the feature extractor but also alleviates the bias of the classifier t...	[ 18581 ]	Validation
34,799	27	Title: ROG-Map: An Efficient Robocentric Occupancy Grid Map for Large-scene and High-resolution LiDAR-based Motion Planning Abstract: Recent advances in LiDAR technology have opened up new possibilities for robotic navigation. Given the widespread use of occupancy grid maps (OGMs) in robotic motion planning, this paper...	[ 3656 ]	Train
34,800	16	Title: StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-Based Generator Abstract: Despite recent advances in syncing lip movements with any audio waves, current methods still struggle to balance generation quality and the model's generalization ability. Previous studies either require long-term d...	[ 34851, 16594, 14507, 41079 ]	Train
34,801	30	Title: Sentence Simplification Using Paraphrase Corpus for Initialization Abstract: Neural sentence simplification method based on sequence-to-sequence framework has become the mainstream method for sentence simplification (SS) task. Unfortunately, these methods are currently limited by the scarcity of parallel SS corp...	[ 5181 ]	Train
34,802	28	Title: Supporting Passive Users in mmWave Networks Abstract: The interference from active to passive users is a well-recognized challenge in millimeter-wave (mmWave) communications. We propose a method that enables to limit the interference on passive users (whose presence may not be detected since they do not transmit...	[]	Train
34,803	38	Title: Bibliometric Study of Authorship Pattern Literature Abstract: The main objective of this study is to conduct a bibliometric analysis of scholarly publications of Authorship Pattern. The present study covers 1723 research papers published in the area of authorship pattern and indexed in Scopus database from the y...	[]	Validation
34,804	16	Title: DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets Abstract: Designing an efficient yet deployment-friendly 3D backbone to handle sparse point clouds is a fundamental problem in 3D perception. Compared with the customized sparse convolution, the attention mechanism in Transformers is more appropriate for f...	[ 40674, 8747, 36523, 15120, 24892, 45439 ]	Test
34,805	16	Title: M2DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer Abstract: Ensuring traffic safety and preventing accidents is a critical goal in daily driving, where the advancement of computer vision technologies can be leveraged to achieve this goal. In this paper, we present a multi-view, mult...	[ 17218, 8412, 2676 ]	Train
34,806	2	Title: Towards an induction principle for nested data types Abstract: A well-known problem in the theory of dependent types is how to handle so-called nested data types. These data types are difficult to program and to reason about in total dependently typed languages such as Agda and Coq. In particular, it is not easy...	[]	Test
34,807	25	Title: Pretraining Conformer with ASR or ASV for Anti-Spoofing Countermeasure Abstract: This paper introduces the Multi-scale Feature Aggregation Conformer (MFA-Conformer) structure for audio anti-spoofing countermeasure (CM). MFA-Conformer combines a convolutional neural networkbased on the Transformer, allowing it to...	[]	Train
34,808	5	Title: Fast Convergence of k-Opinion Undecided State Dynamics in the Population Protocol Model Abstract: We analyze the convergence of the k-opinion Undecided State Dynamics (USD) in the population protocol model. For k=2 opinions it is well known that the USD reaches consensus with high probability within O(n log n) i...	[]	Train
34,809	4	Title: Decentralizing Custodial Wallets with MFKDF Abstract: The average cryptocurrency user today faces a difficult choice between centralized custodial wallets, which are notoriously prone to spontaneous collapse, or cumbersome self-custody solutions, which if not managed properly can cause a total loss of funds. In ...	[ 1840 ]	Train
34,810	16	Title: Quantum Annealing for Single Image Super-Resolution Abstract: This paper proposes a quantum computing-based algorithm to solve the single image super-resolution (SISR) problem. One of the well-known classical approaches for SISR relies on the well-established patch-wise sparse modeling of the problem. Yet, this ...	[]	Train
34,811	23	Title: Exploring Moral Principles Exhibited in OSS: A Case Study on GitHub Heated Issues Abstract: To foster collaboration and inclusivity in Open Source Software (OSS) projects, it is crucial to understand and detect patterns of toxic language that may drive contributors away, especially those from underrepresented co...	[ 27355, 40907 ]	Train
34,812	24	Title: CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs Abstract: Rule-based surrogate models are an effective and interpretable way to approximate a Deep Neural Network's (DNN) decision boundaries, allowing humans to easily understand deep learning models. Current state-of-the-art decom...	[]	Validation
34,813	30	Title: An Experimental Study on Sentiment Classification of Moroccan dialect texts in the web Abstract: With the rapid growth of the use of social media websites, obtaining the users' feedback automatically became a crucial task to evaluate their tendencies and behaviors online. Despite this great availability of infor...	[]	Test
34,814	5	Title: SerPyTor: A distributed context-aware computational graph execution framework for durable execution Abstract: Distributed computation is always a tricky topic to deal with, especially in context of various requirements in various scenarios. A popular solution is to use Apache Spark with a setup of multiple syste...	[]	Train
34,815	4	Title: Efficient Skip Connections Realization for Secure Inference on Encrypted Data Abstract: Homomorphic Encryption (HE) is a cryptographic tool that allows performing computation under encryption, which is used by many privacy-preserving machine learning solutions, for example, to perform secure classification. Mode...	[]	Test
34,816	24	Title: Feature Programming for Multivariate Time Series Prediction Abstract: We introduce the concept of programmable feature engineering for time series modeling and propose a feature programming framework. This framework generates large amounts of predictive features for noisy multivariate time series while allowing ...	[]	Validation
34,817	16	Title: MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation Abstract: This paper tackles the problem of semi-supervised video object segmentation on resource-constrained devices, such as mobile phones. We formulate this problem as a distillation task, whereby we demonstrate t...	[ 4081, 12876 ]	Train
34,818	24	Title: A reading survey on adversarial machine learning: Adversarial attacks and their understanding Abstract: Deep Learning has empowered us to train neural networks for complex data with high performance. However, with the growing research, several vulnerabilities in neural networks have been exposed. A particular br...	[]	Test
34,819	24	Title: White-Box Transformers via Sparse Rate Reduction Abstract: In this paper, we contend that the objective of representation learning is to compress and transform the distribution of the data, say sets of tokens, towards a mixture of low-dimensional Gaussian distributions supported on incoherent subspaces. The qual...	[ 21152, 23008, 2697, 39628, 37070, 11891, 37813, 4063 ]	Train
34,820	30	Title: InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback Abstract: Humans write code in a fundamentally interactive manner and rely on constant execution feedback to correct errors, resolve ambiguities, and decompose tasks. While LLMs have recently exhibited promising coding capabilit...	[ 9314, 40610, 22578, 9907, 2549, 11190, 42230, 28668, 39773 ]	Train
34,821	30	Title: Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data Abstract: Chain-of-thought prompting (CoT) advances the reasoning abilities of large language models (LLMs) and achieves superior performance in arithmetic, commonsense, and symbolic reasoning tasks. However, most CoT studies rel...	[ 21989, 9734, 1644, 22289, 39602, 39889, 4660, 38709, 16758, 25943, 41053 ]	Train
34,822	16	Title: Exploiting Multiple Priors for Neural 3D Indoor Reconstruction Abstract: Neural implicit modeling permits to achieve impressive 3D reconstruction results on small objects, while it exhibits significant limitations in large indoor scenes. In this work, we propose a novel neural implicit modeling method that lever...	[ 18632 ]	Train
34,823	10	Title: RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator Abstract: Perception of the full state is an essential technology to support the monitoring, analysis, and design of physical systems, one of whose challenges is to recover global field f...	[]	Validation
34,824	24	Title: Behave-XAI: Deep Explainable Learning of Behavioral Representational Data Abstract: —According to the latest trend of artiﬁcial intelli- gence(AI), AI-system needs to clarify regarding general/speciﬁc decisions/services provided by it.Only then consumer is satis- ﬁed,with explanation , for example, why any class...	[]	Validation
34,825	24	Title: LANISTR: Multimodal Learning from Structured and Unstructured Data Abstract: Multimodal large-scale pretraining has shown impressive performance for unstructured data including language, image, audio, and video. However, a prevalent real-world scenario involves the combination of structured data types (tabular, ...	[]	Train
34,826	30	Title: Metacognitive Prompting Improves Understanding in Large Language Models Abstract: In Large Language Models (LLMs), there have been consistent advancements in task-specific performance, largely influenced by effective prompt design. While recent research on prompting has enhanced the reasoning capabilities of LLM...	[ 40192, 29825, 33220, 19727, 29396, 5495, 43641 ]	Test
34,827	7	Title: Machine Learning-Assisted Discovery of Novel Reactor Designs via CFD-Coupled Multi-fidelity Bayesian Optimisation Abstract: Additive manufacturing has enabled the fabrication of advanced reactor geometries, permitting larger, more complex design spaces. Identifying promising configurations within such spaces pre...	[]	Validation
34,828	31	Title: Retraining A Graph-based Recommender with Interests Disentanglement Abstract: In a practical recommender system, new interactions are continuously observed. Some interactions are expected, because they largely follow users' long-term preferences. Some other interactions are indications of recent trends in user p...	[]	Train
34,829	23	Title: Understanding the Complexity and Its Impact on Testing in ML-Enabled Systems Abstract: Machine learning (ML) enabled systems are emerging with recent breakthroughs in ML. A model-centric view is widely taken by the literature to focus only on the analysis of ML models. However, only a small body of work takes a ...	[]	Train
34,830	24	Title: Resilient Constrained Learning Abstract: When deploying machine learning solutions, they must satisfy multiple requirements beyond accuracy, such as fairness, robustness, or safety. These requirements are imposed during training either implicitly, using penalties, or explicitly, using constrained optimization me...	[ 2828, 26887 ]	Validation
34,831	30	Title: Massively Multilingual Shallow Fusion with Large Language Models Abstract: While large language models (LLM) have made impressive progress in natural language processing, it remains unclear how to utilize them in improving automatic speech recognition (ASR). In this work, we propose to train a single multilingua...	[]	Train
34,832	24	Title: A Machine Learning Pressure Emulator for Hydrogen Embrittlement Abstract: A recent alternative for hydrogen transportation as a mixture with natural gas is blending it into natural gas pipelines. However, hydrogen embrittlement of material is a major concern for scientists and gas installation designers to avoid...	[ 878 ]	Train
34,833	24	Title: Most Neural Networks Are Almost Learnable Abstract: We present a PTAS for learning random constant-depth networks. We show that for any fixed $\epsilon>0$ and depth $i$, there is a poly-time algorithm that for any distribution on $\sqrt{d} \cdot \mathbb{S}^{d-1}$ learns random Xavier networks of depth $i$, up to...	[ 20488, 6161 ]	Validation
34,834	16	Title: LMSeg: Language-guided Multi-dataset Segmentation Abstract: It's a meaningful and attractive topic to build a general and inclusive segmentation model that can recognize more categories in various scenarios. A straightforward way is to combine the existing fragmented segmentation datasets and train a multi-datas...	[ 28524, 23877, 41109 ]	Train
34,835	30	Title: Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification Abstract: Accurate and rapid situation analysis during humanitarian crises is critical to delivering humanitarian aid efficiently and is fundamental to humanitarian imperatives and the Leave No One Behind (LNOB) p...	[ 22388 ]	Test
34,836	24	Title: Linear Regression using Heterogeneous Data Batches Abstract: In many learning applications, data are collected from multiple sources, each providing a \emph{batch} of samples that by itself is insufficient to learn its input-output relationship. A common approach assumes that the sources fall in one of several u...	[]	Train
34,837	24	Title: Leveraging Deep Learning Approaches for Deepfake Detection: A Review Abstract: Abstract— Conspicuous progression in the field of machine learning (ML) and deep learning (DL) have led the jump of highly realistic fake media, these media oftentimes referred as deepfakes. Deepfakes are fabricated media which are ge...	[ 2448, 37404 ]	Train
34,838	31	Title: Graph Masked Autoencoder for Sequential Recommendation Abstract: While some powerful neural network architectures (e.g., Transformer, Graph Neural Networks) have achieved improved performance in sequential recommendation with high-order item dependency modeling, they may suffer from poor representation capabilit...	[ 31085, 1357, 5559 ]	Validation
34,839	16	Title: Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses Abstract: Analyzing the dynamic changes of cellular morphology is important for understanding the various functions and characteristics of live cells, including stem cells and metastatic cancer cells. To this end, we need to t...	[ 19920 ]	Train
34,840	36	Title: Towards a Switching-Algebraic Theory of Weighted Voting Systems: Exploring Restrictions on Coalition Formation Abstract: We explore the switching-algebraic computation of the Banzhaf indices for general and monotone or unrestricted systems. This computation is achieved via (a) two Boolean-quotient formulas that ...	[ 11064, 6746 ]	Train
34,841	25	Title: TranssionADD: A multi-frame reinforcement based sequence tagging model for audio deepfake detection Abstract: Thanks to recent advancements in end-to-end speech modeling technology, it has become increasingly feasible to imitate and clone a user`s voice. This leads to a significant challenge in differentiating b...	[ 4313 ]	Train
34,842	24	Title: Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health Abstract: Restless multi-armed bandits (RMABs) are a popular framework for algorithmic decision making in sequential settings with limited resources. RMABs are increasingly being used for sensitive decisions such as in public ...	[]	Train
34,843	23	Title: Cupid: Leveraging ChatGPT for More Accurate Duplicate Bug Report Detection Abstract: Duplicate bug report detection (DBRD) is a long-standing challenge in both academia and industry. Over the past decades, researchers have proposed various approaches to detect duplicate bug reports more accurately. With the rece...	[ 12128, 14592, 21921, 13700, 18984, 19720, 25227, 43641, 35580 ]	Train
34,844	2	Title: Automated Termination Proofs for C Programs with Lists (Short WST Version) Abstract: There are many techniques and tools for termination of C programs, but up to now they were not very powerful for termination proofs of programs whose termination depends on recursive data structures like lists. We present the fi...	[ 22682, 6407 ]	Train
34,845	36	Title: Almost Envy-Free Allocations of Indivisible Goods or Chores with Entitlements Abstract: We consider the problem of fair allocation of indivisible goods or chores to $n$ agents with $\textit{weights}$ that describe their entitlements to a set of indivisible resources. Stemming from the well studied fairness notio...	[ 45592 ]	Train
34,846	16	Title: Continuous Intermediate Token Learning with Implicit Motion Manifold for Keyframe Based Motion Interpolation Abstract: Deriving sophisticated 3D motions from sparse keyframes is a particularly challenging problem, due to continuity and exceptionally skeletal precision. The action features are often derivable acc...	[ 18551 ]	Validation
34,847	24	Title: Neural oscillators for generalization of physics-informed machine learning Abstract: A primary challenge of physics-informed machine learning (PIML) is its generalization beyond the training domain, especially when dealing with complex physical problems represented by partial differential equations (PDEs). This ...	[ 2124, 41711, 41872, 11284, 16280, 7902 ]	Test
34,848	4	Title: Differentially Private Aggregation via Imperfect Shuffling Abstract: In this paper, we introduce the imperfect shuffle differential privacy model, where messages sent from users are shuffled in an almost uniform manner before being observed by a curator for private aggregation. We then consider the private summa...	[]	Train
34,849	24	Title: Deep Ranking Ensembles for Hyperparameter Optimization Abstract: Automatically optimizing the hyperparameters of Machine Learning algorithms is one of the primary open questions in AI. Existing work in Hyperparameter Optimization (HPO) trains surrogate models for approximating the response surface of hyperparame...	[ 34444, 694 ]	Validation
34,850	30	Title: Mapping Brains with Language Models: A Survey Abstract: Over the years, many researchers have seemingly made the same observation: Brain and language model activations exhibit some structural similarities, enabling linear partial mappings between features extracted from neural recordings and computational langua...	[]	Train
34,851	16	Title: DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video Abstract: For few-shot learning, it is still a critical challenge to realize photo-realistic face visually dubbing on high-resolution videos. Previous works fail to generate high-fidelity dubbing results. To addres...	[ 34800, 32238 ]	Train
34,852	16	Title: Towards Unbalanced Motion: Part-Decoupling Network for Video Portrait Segmentation Abstract: Video portrait segmentation (VPS), aiming at segmenting prominent foreground portraits from video frames, has received much attention in recent years. However, simplicity of existing VPS datasets leads to a limitation on...	[]	Validation
34,853	24	Title: Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression Abstract: Time Series Extrinsic Regression (TSER) involves using a set of training time series to form a predictive model of a continuous response variable that is not directly related to the regressor series. The TSER archive for compari...	[ 28496, 37584 ]	Train
34,854	24	Title: Topological Structure is Predictive of Deep Neural Network Success in Learning Abstract: Machine learning has become a fundamental tool in modern science, yet its limitations are still not fully understood. Using a simple children’s game, we show that the topological structure of the underlying training data can...	[]	Train
34,855	30	Title: People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts Abstract: Although pre-trained named entity recognition (NER) models are highly accurate on modern corpora, they underperform on historical texts due to differences in language OCR ...	[]	Train
34,856	39	Title: Spectral Independence Lecture Notes Abstract: These are self-contained lecture notes for spectral independence. For an $n$-vertex graph, the spectral independence condition is a bound on the maximum eigenvalue of the $n\times n$ influence matrix whose entries capture the influence between pairs of vertices, it i...	[]	Test
34,857	26	Title: Influence Maximization in Social Networks: A Survey Abstract: Online social networks have become an important platform for people to communicate, share knowledge and disseminate information. Given the widespread usage of social media, individuals' ideas, preferences and behavior are often influenced by their pee...	[]	Validation
34,858	36	Title: The Power of Two-sided Recruitment in Two-sided Markets Abstract: We consider the problem of maximizing the gains from trade (GFT) in two-sided markets. The seminal impossibility result by Myerson shows that even for bilateral trade, there is no individually rational (IR), Bayesian incentive compatible (BIC) and...	[ 17374 ]	Train
34,859	16	Title: Can Prompt Learning Benefit Radiology Report Generation? Abstract: Radiology report generation aims to automatically provide clinically meaningful descriptions of radiology images such as MRI and X-ray. Although great success has been achieved in natural scene image captioning tasks, radiology report generation ...	[ 13700 ]	Train
34,860	24	Title: Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures Abstract: Contemporary graph learning algorithms are not well-suited for large molecules since they do not consider the hierarchical interactions among the atoms, which are essential to determining the molecul...	[]	Train
34,861	10	Title: Modeling Player Personality Factors from In-Game Behavior and Affective Expression Abstract: Developing a thorough understanding of the target audience (and/or single individuals) is a key factor for success - which is exceptionally important and powerful for the domain of video games that can not only benefit f...	[]	Validation
34,862	16	Title: HOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D Scans Abstract: We present an automated and efficient approach for retrieving high-quality CAD models of objects and their poses in a scene captured by a moving RGB-D camera. We first investigate various objective functions to measure similarity betwe...	[]	Train
34,863	34	Title: Multiplicative Auction Algorithm for Approximate Maximum Weight Bipartite Matching Abstract: $\newcommand{\eps}{\varepsilon}$We present an auction algorithm using multiplicative instead of constant weight updates to compute a $(1-\eps)$-approximate maximum weight matching (MWM) in a bipartite graph with $n$ vert...	[ 19227, 15723, 31040, 14703 ]	Train
34,864	24	Title: Knowledge Relation Rank Enhanced Heterogeneous Learning Interaction Modeling for Neural Graph Forgetting Knowledge Tracing Abstract: Recently, knowledge tracing models have been applied in educational data mining such as the Self-attention knowledge tracing model(SAKT), which models the relationship between exer...	[]	Test
34,865	6	Title: Perceptually Uniform Construction of Illustrative Textures Abstract: Illustrative textures, such as stippling or hatching, were predominantly used as an alternative to conventional Phong rendering. Recently, the potential of encoding information on surfaces or maps using different densities has also been recogni...	[]	Validation
34,866	25	Title: Mandarin Lombard Flavor Classification Abstract: The Lombard effect refers to individuals' unconscious modulation of vocal effort in response to variations in the ambient noise levels, intending to enhance speech intelligibility. The impact of different decibel levels and types of background noise on Lombard eff...	[ 9950 ]	Train
34,867	16	Title: PAtt-Lite: Lightweight Patch and Attention MobileNet for Challenging Facial Expression Recognition Abstract: Facial Expression Recognition (FER) is a machine learning problem that deals with recognizing human facial expressions. While existing work has achieved performance improvements in recent years, FER in th...	[ 17722 ]	Train
34,868	24	Title: IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness Abstract: This paper proposes a novel method, IB-RAR, which uses Information Bottleneck (IB) to strengthen adversarial robustness for both adversarial training and non-adversarial-trained methods. We first use the IB theory to build regular...	[]	Validation
34,869	16	Title: One scalar is all you need - absolute depth estimation using monocular self-supervision Abstract: Self-supervised monocular depth estimators can be trained or fine-tuned on new scenes using only images and no ground-truth depth data, achieving good accuracy. However, these estimators suffer from the inherent amb...	[]	Train
34,870	16	Title: Influence Function Based Second-Order Channel Pruning-Evaluating True Loss Changes For Pruning Is Possible Without Retraining Abstract: A challenge of channel pruning is designing efficient and effective criteria to select channels to prune. A widely used criterion is minimal performance degeneration. To accurat...	[]	Test
34,871	5	Title: Lockless Blockchain Sharding with Multiversion Control Abstract: Sharding is used to address the performance and scalability issues of the blockchain protocols, which divides the overall transaction processing costs among multiple clusters of nodes. Shards require less storage capacity and communication and comp...	[ 1266 ]	Train
34,872	23	Title: InferFix: End-to-End Program Repair with LLMs Abstract: Software development life cycle is profoundly influenced by bugs: their introduction, identification, and eventual resolution account for a significant portion of software cost. This has motivated software engineering researchers and practitioners to propos...	[ 24749, 9038, 22097, 16179, 24053 ]	Test
34,873	24	Title: TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation Abstract: We propose TR0N, a highly general framework to turn pre-trained unconditional generative models, such as GANs and VAEs, into conditional models. The conditioning can be highly arbitrary, and requires only a pre-trained auxiliary ...	[ 10624, 34074, 20435 ]	Train
34,874	31	Title: Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset Abstract: Users in consumption domains, like music, are often able to more efficiently provide preferences over a set of items (e.g. a playlist or radio) than over single items (e.g. songs). Unfortunate...	[ 36987, 19084 ]	Train
34,875	16	Title: Empowering Low-Light Image Enhancer through Customized Learnable Priors Abstract: Deep neural networks have achieved remarkable progress in enhancing low-light images by improving their brightness and eliminating noise. However, most existing methods construct end-to-end mapping networks heuristically, neglectin...	[ 36829, 32967 ]	Train
34,876	24	Title: Simple Disentanglement of Style and Content in Visual Representations Abstract: Learning visual representations with interpretable features, i.e., disentangled representations, remains a challenging problem. Existing methods demonstrate some success but are hard to apply to large-scale vision datasets like Image...	[]	Validation
34,877	34	Title: Matroid-Constrained Vertex Cover Abstract: nan	[]	Validation

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