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
34,878	16	Title: Denoising Diffusion Models for Plug-and-Play Image Restoration Abstract: Plug-and-play Image Restoration (IR) has been widely recognized as a flexible and interpretable method for solving various inverse problems by utilizing any off-the-shelf denoiser as the implicit image prior. However, most existing methods ...	[ 500 ]	Train
34,879	30	Title: TIDE: Textual Identity Detection for Evaluating and Augmenting Classification and Language Models Abstract: Machine learning models can perpetuate unintended biases from unfair and imbalanced datasets. Evaluating and debiasing these datasets and models is especially hard in text datasets where sensitive attribut...	[]	Train
34,880	34	Title: No Polynomial Kernels for Knapsack Abstract: This paper focuses on kernelization algorithms for the fundamental Knapsack problem. A kernelization algorithm (or kernel) is a polynomial-time reduction from a problem onto itself, where the output size is bounded by a function of some problem-specific parameter. Suc...	[ 40024, 10441, 23005 ]	Test
34,881	30	Title: A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge Abstract: Knowledge graphs (KG) have served as the key component of various natural language processing applications. Commonsense knowledge graphs (CKG) are a special type of KG, where entities and relations are composed of...	[ 26064, 23484 ]	Train
34,882	3	Title: Why They're Worried: Examining Experts' Motivations for Signing the 'Pause Letter' Abstract: This paper presents perspectives on the state of AI, as held by a sample of experts. These experts were early signatories of the recent open letter from Future of Life, which calls for a pause on advanced AI development....	[ 1917, 453 ]	Validation
34,883	4	Title: Resilient and Privacy-Preserving Threshold Vehicular Public Key Infrastructure (VPKI) Abstract: Vehicular Public Key Infrastructure (VPKI) plays a vital role in ensuring secure and privacy-preserving communication in vehicular ad hoc networks (VANETs). However, current VPKI architectures face significant challen...	[]	Validation
34,884	30	Title: Neural Summarization of Electronic Health Records Abstract: Hospital discharge documentation is among the most essential, yet time-consuming documents written by medical practitioners. The objective of this study was to automatically generate hospital discharge summaries using neural network summarization models...	[]	Train
34,885	31	Title: Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments Abstract: The creation of relevance assessments by human assessors (often nowadays crowdworkers) is a vital step when building IR test collections. Prior works have investigated assessor quality & behaviour, and tooling ...	[]	Validation
34,886	27	Title: Learning Soft Robot Dynamics using Differentiable Kalman Filters and Spatio-Temporal Embeddings Abstract: This paper introduces a novel approach for modeling the dynamics of soft robots, utilizing a differentiable filter architecture. The proposed approach enables end-to-end training to learn system dynamics, no...	[ 9727 ]	Train
34,887	24	Title: DEGREE: Decomposition Based Explanation for Graph Neural Networks Abstract: Graph Neural Networks (GNNs) are gaining extensive attention for their application in graph data. However, the black-box nature of GNNs prevents users from understanding and trusting the models, thus hampering their applicability. Wherea...	[ 45024, 42990, 12943 ]	Train
34,888	4	Title: Patient-centric health data sovereignty: an approach using Proxy re-encryption Abstract: The exponential growth in the digitisation of services implies the handling and storage of large volumes of data. Businesses and services see data sharing and crossing as an opportunity to improve and produce new business op...	[]	Train
34,889	36	Title: MESOB: Balancing Equilibria & Social Optimality Abstract: Motivated by bid recommendation in online ad auctions, this paper considers a general class of multi-level and multi-agent games, with two major characteristics: one is a large number of anonymous agents, and the other is the intricate interplay between c...	[]	Test
34,890	20	Title: Efficient Yao Graph Construction Abstract: Yao graphs are geometric spanners that connect each point of a given point set to its nearest neighbor in each of $k$ cones drawn around it. Yao graphs were introduced to construct minimum spanning trees in $d$ dimensional spaces. Moreover, they are used for instance in...	[]	Train
34,891	24	Title: Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities Abstract: Recent advancements in AI applications to healthcare have shown incredible promise in surpassing human performance in diagnosis and disease prognosis. With the increasing complexity of AI models, however, concern...	[]	Train
34,892	30	Title: CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning Abstract: Commonsense reasoning, aiming at endowing machines with a human-like ability to make situational presumptions, is extremely challenging to generalize.For someone who barely knows about “meditation,” while is k...	[ 12128, 14881, 38856, 6061, 19094, 15836, 37277 ]	Train
34,893	4	Title: Location Privacy Protection Game against Adversary through Multi-user Cooperative Obfuscation Abstract: In location-based services(LBSs), it is promising for users to crowdsource and share their Point-of-Interest(PoI) information with each other in a common cache to reduce query frequency and preserve location p...	[]	Test
34,894	36	Title: Decentralized Valuation and Inflation Control for NFTs in Incentivized Play-to-Earn Web3 Applications Abstract: Non-fungible tokens (NFTs) are becoming increasingly popular in Play-to-Earn (P2E) Web3 applications as a means of incentivizing user engagement. In Web3, users with NFTs ownership are entitled to mone...	[]	Train
34,895	16	Title: Face Attribute Editing with Disentangled Latent Vectors Abstract: We propose an image-to-image translation framework for facial attribute editing with disentangled interpretable latent directions. Facial attribute editing task faces the challenges of targeted attribute editing with controllable strength and dise...	[]	Test
34,896	13	Title: Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes Abstract: Spiking Neural Networks (SNNs) have attracted great attention due to their distinctive characteristics of low power consumption and temporal information processing. ANN-SNN conversion, as the most commonly used training method for appl...	[ 25384, 28138, 39312, 22837 ]	Train
34,897	24	Title: Enhancing Personalized Ranking With Differentiable Group AUC Optimization Abstract: AUC is a common metric for evaluating the performance of a classifier. However, most classifiers are trained with cross entropy, and it does not optimize the AUC metric directly, which leaves a gap between the training and evalua...	[]	Test
34,898	27	Title: Hierarchical generative modelling for autonomous robots Abstract: Humans can produce complex movements when interacting with their surroundings. This relies on the planning of various movements and subsequent execution. In this paper, we investigated this fundamental aspect of motor control in the setting of a...	[]	Validation
34,899	24	Title: Learning Large Graph Property Prediction via Graph Segment Training Abstract: Learning to predict properties of large graphs is challenging because each prediction requires the knowledge of an entire graph, while the amount of memory available during training is bounded. Here we propose Graph Segment Training (G...	[]	Validation
34,900	25	Title: CLAPSpeech: Learning Prosody from Text Context with Contrastive Language-Audio Pre-Training Abstract: Improving text representation has attracted much attention to achieve expressive text-to-speech (TTS). However, existing works only implicitly learn the prosody with masked token reconstruction tasks, which lead...	[ 1608, 359 ]	Test
34,901	16	Title: Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy via Geometry-Guided Cross-View Transformer Abstract: Image retrieval-based cross-view localization methods often lead to very coarse camera pose estimation, due to the limited sampling density of the database satellite images. In this paper, we prop...	[ 20314 ]	Train
34,902	16	Title: Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception Abstract: We introduce the Aria Digital Twin (ADT) - an egocentric dataset captured using Aria glasses with extensive object, environment, and human level ground truth. This ADT release contains 200 sequences of real-world activities...	[ 21608, 8854 ]	Train
34,903	30	Title: Efficient and Flexible Topic Modeling using Pretrained Embeddings and Bag of Sentences Abstract: Pre-trained language models have led to a new state-of-the-art in many NLP tasks. However, for topic modeling, statistical generative models such as LDA are still prevalent, which do not easily allow incorporating co...	[]	Test
34,904	24	Title: NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants Abstract: Deploying reliable deep learning techniques in interdisciplinary applications needs learned models to output accurate and (even more importantly) explainable predictions. Existing approaches typi...	[]	Train
34,905	26	Title: Quantifying Node-based Core Resilience Abstract: Core decomposition is an efficient building block for various graph analysis tasks such as dense subgraph discovery and identifying influential nodes. One crucial weakness of the core decomposition is its sensitivity to changes in the graph: inserting or removing ...	[]	Train
34,906	13	Title: Analysis and FPGA based Implementation of Permutation Binary Neural Networks Abstract: This paper studies a permutation binary neural network characterized by local binary connections, global permutation connections, and the signum activation function. Depending on the permutation connections, the network can ge...	[]	Train
34,907	24	Title: Differentially Private Synthetic Data Generation via Lipschitz-Regularised Variational Autoencoders Abstract: Synthetic data has been hailed as the silver bullet for privacy preserving data analysis. If a record is not real, then how could it violate a person's privacy? In addition, deep-learning based generativ...	[]	Train
34,908	30	Title: ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation Abstract: Applying Reinforcement Learning (RL) to sequence generation models enables the direct optimization of long-term rewards (\textit{e.g.,} BLEU and human feedback), but typically requires large-scale sampling over a space of act...	[ 13345, 9403, 13700, 16822 ]	Train
34,909	23	Title: Successful combination of database search and snowballing for identification of primary studies in systematic literature studies Abstract: nan	[]	Train
34,910	30	Title: From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models Abstract: Instruction tuning is essential for large language models (LLMs) to become interactive. While many instruction tuning datasets exist in English, there is a noticeable lack in other languages. Also, their effectiv...	[ 13345, 13700, 33220, 23502, 38958, 36179, 6328, 43641, 32635, 11614, 29375 ]	Train
34,911	10	Title: Explainable AI in Orthopedics: Challenges, Opportunities, and Prospects Abstract: While artificial intelligence (AI) has made many successful applications in various domains, its adoption in healthcare lags a little bit behind other high-stakes settings. Several factors contribute to this slower uptake, includin...	[]	Train
34,912	16	Title: Visual Instruction Inversion: Image Editing via Visual Prompting Abstract: Text-conditioned image editing has emerged as a powerful tool for editing images. However, in many situations, language can be ambiguous and ineffective in describing specific image edits. When faced with such challenges, visual prompts c...	[ 16103, 42599, 41146, 20174, 8051, 34074, 4766, 29087 ]	Test
34,913	34	Title: Sampling unknown large networks restricted by low sampling rates Abstract: Graph sampling plays an important role in data mining for large networks. Specifically, larger networks often correspond to lower sampling rates. Under the situation, traditional traversal-based samplings for large networks usually have a...	[]	Test
34,914	30	Title: Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering Abstract: In this work, we study multi-source test-time model adaptation from user feedback, where K distinct models are established for adaptation. To allow efficient adaptation, we cast the problem as a stochastic decision-m...	[ 33220, 2054, 19039 ]	Train
34,915	24	Title: SERT: A Transfomer Based Model for Spatio-Temporal Sensor Data with Missing Values for Environmental Monitoring Abstract: Environmental monitoring is crucial to our understanding of climate change, biodiversity loss and pollution. The availability of large-scale spatio-temporal data from sources such as sensors ...	[]	Train
34,916	30	Title: Scaling Evidence-based Instructional Design Expertise through Large Language Models Abstract: This paper presents a comprehensive exploration of leveraging Large Language Models (LLMs), specifically GPT-4, in the field of instructional design. With a focus on scaling evidence-based instructional design expertise...	[ 27185, 604 ]	Test
34,917	16	Title: MOST: Multiple Object localization with Self-supervised Transformers for object discovery Abstract: We tackle the challenging task of unsupervised object localization in this work. Recently, transformers trained with self-supervised learning have been shown to exhibit object localization properties without being...	[]	Test
34,918	5	Title: Prototyping a ROOT-based distributed analysis workflow for HL-LHC: the CMS use case Abstract: The challenges expected for the next era of the Large Hadron Collider (LHC), both in terms of storage and computing resources, provide LHC experiments with a strong motivation for evaluating ways of rethinking their com...	[]	Train
34,919	30	Title: Logical Reasoning for Natural Language Inference Using Generated Facts as Atoms Abstract: State-of-the-art neural models can now reach human performance levels across various natural language understanding tasks. However, despite this impressive performance, models are known to learn from annotation artefacts at...	[ 45792 ]	Train
34,920	30	Title: How Good Is the Model in Model-in-the-loop Event Coreference Resolution Annotation? Abstract: Annotating cross-document event coreference links is a time-consuming and cognitively demanding task that can compromise annotation quality and efficiency. To address this, we propose a model-in-the-loop annotation appr...	[]	Train
34,921	6	Title: The Importance of Distrust in AI Abstract: In recent years the use of Artificial Intelligence (AI) has become increasingly prevalent in a growing number of fields. As AI systems are being adopted in more high-stakes areas such as medicine and finance, ensuring that they are trustworthy is of increasing importanc...	[]	Train
34,922	24	Title: Knowledge Distillation via Token-level Relationship Graph Abstract: Knowledge distillation is a powerful technique for transferring knowledge from a pre-trained teacher model to a student model. However, the true potential of knowledge transfer has not been fully explored. Existing approaches primarily focus on ...	[]	Train
34,923	24	Title: MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation Abstract: This work introduces MiDi, a novel diffusion model for jointly generating molecular graphs and their corresponding 3D arrangement of atoms. Unlike existing methods that rely on predefined rules to determine molecular bonds based on th...	[ 18925, 686 ]	Train
34,924	4	Title: Predict And Prevent DDOS Attacks Using Machine Learning and Statistical Algorithms Abstract: A malicious attempt to exhaust a victim's resources to cause it to crash or halt its services is known as a distributed denial-of-service (DDoS) attack. DDOS attacks stop authorized users from accessing specific services...	[]	Train
34,925	23	Title: A Dataset and Analysis of Open-Source Machine Learning Products Abstract: Machine learning (ML) components are increasingly incorporated into software products, yet developers face challenges in transitioning from ML prototypes to products. Academic researchers struggle to propose solutions to these challenges a...	[ 26118 ]	Train
34,926	26	Title: Simulation of Stance Perturbations Abstract: In this work, we analyze the circumstances under which social influence operations are likely to succeed. These circumstances include the selection of Confederate agents to execute intentional perturbations and the selection of Perturbation strategies. We use Agent-Ba...	[]	Train
34,927	6	Title: Challenges and Opportunities for the Design of Smart Speakers Abstract: Advances in voice technology and voice user interfaces (VUIs) -- such as Alexa, Siri, and Google Home -- have opened up the potential for many new types of interaction. However, despite the potential of these devices reflected by the growing...	[]	Train
34,928	16	Title: HRFNet: High-Resolution Forgery Network for Localizing Satellite Image Manipulation Abstract: Existing high-resolution satellite image forgery localization methods rely on patch-based or downsampling-based training. Both of these training methods have major drawbacks, such as inaccurate boundaries between pristi...	[]	Validation
34,929	16	Title: Synthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection: A Simple yet Efficient Framework based on Masked Autoencoder Abstract: Due to the limited availability of anomalous samples for training, video anomaly detection is commonly viewed as a one-class classification problem. Many prevalent methods i...	[]	Train
34,930	24	Title: On the Generalization of PINNs outside the training domain and the Hyperparameters influencing it Abstract: Physics-Informed Neural Networks (PINNs) are Neural Network architectures trained to emulate solutions of differential equations without the necessity of solution data. They are currently ubiquitous in the...	[ 16280, 30712 ]	Train
34,931	27	Title: Position prediction using disturbance observer for planar pushing Abstract: —The position and the orientation of a rigid body object pushed by a robot on a planar surface are extremely difﬁcult to predict. In this paper, the prediction problem is formulated as a disturbance observer design problem. The disturban...	[]	Train
34,932	24	Title: How to get the most out of Twinned Regression Methods Abstract: Twinned regression methods are designed to solve the dual problem to the original regression problem, predicting differences between regression targets rather then the targets themselves. A solution to the original regression problem can be obtained...	[]	Train
34,933	30	Title: How can Deep Learning Retrieve the Write-Missing Additional Diagnosis from Chinese Electronic Medical Record For DRG Abstract: The purpose of write-missing diagnosis detection is to find diseases that have been clearly diagnosed from medical records but are missed in the discharge diagnosis. Unlike the definitio...	[]	Train
34,934	10	Title: Efficient Symbolic Reasoning for Neural-Network Verification Abstract: The neural network has become an integral part of modern software systems. However, they still suffer from various problems, in particular, vulnerability to adversarial attacks. In this work, we present a novel program reasoning framework for...	[ 7433 ]	Validation
34,935	16	Title: Rethinking Cross-Entropy Loss for Stereo Matching Networks Abstract: Despite the great success of deep learning in stereo matching, recovering accurate and clearly-contoured disparity map is still challenging. Currently, L1 loss and cross-entropy loss are the two most widely used loss functions for training the ...	[]	Validation
34,936	30	Title: The Larger They Are, the Harder They Fail: Language Models do not Recognize Identifier Swaps in Python Abstract: Large Language Models (LLMs) have successfully been applied to code generation tasks, raising the question of how well these models understand programming. Typical programming languages have invarianc...	[ 128, 15973, 7239, 975, 18065 ]	Train
34,937	16	Title: Dense Video Object Captioning from Disjoint Supervision Abstract: We propose a new task and model for dense video object captioning -- detecting, tracking, and captioning trajectories of all objects in a video. This task unifies spatial and temporal understanding of the video, and requires fine-grained language ...	[ 10624, 20169, 27171, 26206 ]	Validation
34,938	16	Title: Broken Rail Detection With Texture Image Processing Using Two-Dimensional Gray Level Co-occurrence Matrix Abstract: Application of electronic railway systems as well as the implication of Automatic Train Control (ATC) System has increased the safety of rail transportation. However, one of the most important caus...	[]	Validation
34,939	28	Title: Upgrade error detection to prediction with GRAND Abstract: Guessing Random Additive Noise Decoding (GRAND) is a family of hard- and soft-detection error correction decoding algorithms that provide accurate decoding of any moderate redundancy code of any length. Here we establish a method through which any soft-i...	[]	Train
34,940	10	Title: Reflective Hybrid Intelligence for Meaningful Human Control in Decision-Support Systems Abstract: With the growing capabilities and pervasiveness of AI systems, societies must collectively choose between reduced human autonomy, endangered democracies and limited human rights, and AI that is aligned to human and ...	[]	Test
34,941	10	Title: Towards a Unifying Model of Rationality in Multiagent Systems Abstract: Multiagent systems deployed in the real world need to cooperate with other agents (including humans) nearly as effectively as these agents cooperate with one another. To design such AI, and provide guarantees of its effectiveness, we need to...	[]	Validation
34,942	30	Title: Domain Mastery Benchmark: An Ever-Updating Benchmark for Evaluating Holistic Domain Knowledge of Large Language Model-A Preliminary Release Abstract: Domain knowledge refers to the in-depth understanding, expertise, and familiarity with a specific subject, industry, field, or area of special interest. The existi...	[ 13700, 33220, 13510, 19083, 846, 37806 ]	Train
34,943	16	Title: PolyFormer: Referring Image Segmentation as Sequential Polygon Generation Abstract: In this work, instead of directly predicting the pixel-level segmentation masks, the problem of referring image seg-mentation is formulated as sequential polygon generation, and the predicted polygons can be later converted into ...	[ 26720, 17633, 19618, 44197, 24653, 27860, 28148, 33913, 27230 ]	Train
34,944	6	Title: Augmented Co-Speech Gesture Generation: Including Form and Meaning Features to Guide Learning-Based Gesture Synthesis Abstract: Due to their significance in human communication, the automatic generation of co-speech gestures in artificial embodied agents has received a lot of attention. Although modern deep lear...	[ 20138, 41699 ]	Train
34,945	16	Title: CocaCLIP: Exploring Distillation of Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image Retrieval Abstract: Large-scale pre-trained text-image models with dual-encoder architectures (such as CLIP) are typically adopted for various vision-language applications, including text-image retrieval. H...	[]	Train
34,946	25	Title: Real-time Percussive Technique Recognition and Embedding Learning for the Acoustic Guitar Abstract: Real-time music information retrieval (RT-MIR) has much potential to augment the capabilities of traditional acoustic instruments. We develop RT-MIR techniques aimed at augmenting percussive fingerstyle, which ble...	[]	Test
34,947	23	Title: ACER: An AST-based Call Graph Generator Framework Abstract: We introduce ACER, an AST-based call graph generator framework. ACER leverages tree-sitter to interface with any language. We opted to focus on generators that operate on abstract syntax trees (ASTs) due to their speed and simplicitly in certain scenari...	[]	Train
34,948	30	Title: An Ensemble Approach to Personalized Real Time Predictive Writing for Experts Abstract: Completing a sentence, phrase or word after typing few words / characters is very helpful for Intuit financial experts, while taking notes or having a live chat with users, since they need to write complex financial concepts ...	[]	Train
34,949	16	Title: FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation Abstract: This paper raises the new task of Fisheye Semantic Completion (FSC), where dense texture, structure, and semantics of a fisheye image are inferred even beyond the sensor field-of-view (FoV). Fisheye cameras ...	[ 31961 ]	Train
34,950	16	Title: StyleGAN knows Normal, Depth, Albedo, and More Abstract: Intrinsic images, in the original sense, are image-like maps of scene properties like depth, normal, albedo or shading. This paper demonstrates that StyleGAN can easily be induced to produce intrinsic images. The procedure is straightforward. We show that,...	[ 30402, 28291, 37254, 10538, 15983, 33936, 34074, 4220 ]	Train
34,951	2	Title: Rational functions via recursive schemes Abstract: We give a new characterization of the class of rational string functions from formal language theory using order-preserving interpretations with respect to a very weak monadic programming language. This refines the known characterization of rational functions by...	[]	Train
34,952	36	Title: Mode Connectivity in Auction Design Abstract: Optimal auction design is a fundamental problem in algorithmic game theory. This problem is notoriously difficult already in very simple settings. Recent work in differentiable economics showed that neural networks can efficiently learn known optimal auction mechanis...	[]	Train
34,953	30	Title: Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval Abstract: When provided with sufficient explanatory context, smaller Language Models have been shown to exhibit strong reasoning ability on challenging short-answer question-answering tasks where the questions ...	[ 38208, 13700, 12741, 11869, 10950, 33220, 37360, 22578, 36179, 29396, 31291, 17789 ]	Train
34,954	16	Title: C2F2NeUS: Cascade Cost Frustum Fusion for High Fidelity and Generalizable Neural Surface Reconstruction Abstract: There is an emerging effort to combine the two popular 3D frameworks using Multi-View Stereo (MVS) and Neural Implicit Surfaces (NIS) with a specific focus on the few-shot / sparse view setting. In t...	[ 15051 ]	Test
34,955	16	Title: TarViS: A Unified Approach for Target-Based Video Segmentation Abstract: The general domain of video segmentation is currently fragmented into different tasks spanning multiple benchmarks. Despite rapid progress in the state-of-the-art, current methods are overwhelmingly task-specific and cannot conceptually gen...	[ 30881, 24108, 41109, 342, 39737, 31225 ]	Validation
34,956	30	Title: Faith and Fate: Limits of Transformers on Compositionality Abstract: Transformer large language models (LLMs) have sparked admiration for their exceptional performance on tasks that demand intricate multi-step reasoning. Yet, these models simultaneously show failures on surprisingly trivial problems. This begs t...	[ 12128, 19232, 34178, 35427, 13700, 16837, 13510, 7239, 33809, 25304, 25433, 17789 ]	Train
34,957	24	Title: Deep Anomaly Detection on Tennessee Eastman Process Data Abstract: This paper provides the first comprehensive evaluation and analysis of modern (deep-learning) unsupervised anomaly detection methods for chemical process data. We focus on the Tennessee Eastman process dataset, which has been a standard litmus te...	[]	Train
34,958	16	Title: R-C-P Method: An Autonomous Volume Calculation Method Using Image Processing and Machine Vision Abstract: Machine vision and image processing are often used with sensors for situation awareness in autonomous systems, from industrial robots to self-driving cars. The 3D depth sensors, such as LiDAR (Light Detectio...	[]	Train
34,959	34	Title: Sandpile Prediction on Structured Undirected Graphs Abstract: We present algorithms that compute the terminal configurations for sandpile instances in $O(n \log n)$ time on trees and $O(n)$ time on paths, where $n$ is the number of vertices. The Abelian Sandpile model is a well-known model used in exploring self...	[]	Test
34,960	15	Title: Modular DFR: Digital Delayed Feedback Reservoir Model for Enhancing Design Flexibility Abstract: A delayed feedback reservoir (DFR) is a type of reservoir computing system well-suited for hardware implementations owing to its simple structure. Most existing DFR implementations use analog circuits that require bo...	[]	Train
34,961	5	Title: Quantifying the Benefits of Carbon-Aware Temporal and Spatial Workload Shifting in the Cloud Abstract: To mitigate climate change, there has been a recent focus on reducing computing's carbon emissions by shifting its time and location to when and where lower-carbon energy is available. However, despite the prom...	[ 39698, 34309 ]	Train
34,962	30	Title: SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres Abstract: Event-centric structured prediction involves predicting structured outputs of events. In most NLP cases, event structures are complex with manifold dependency, and it is challenging to effectively represent these complicated str...	[]	Validation
34,963	30	Title: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment Abstract: Training large language models (LLMs) with open-domain instruction data has yielded remarkable success in aligning to end tasks and user preferences. Extensive research has highlighted that enhancing the quality and dive...	[ 14592, 40192, 13700, 12940, 6797, 16911, 25751, 45848, 8608, 13345, 2980, 25892, 6328, 38208, 33220, 21190, 38218, 36179, 12628, 21739, 3967 ]	Validation
34,964	30	Title: UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation Abstract: Prior study has shown that pretrained language models (PLM) can boost the performance of text-based recommendation. In contrast to previous works that either use PLM to encode user history...	[ 14282, 4610, 9917 ]	Test
34,965	30	Title: A Causal View of Entity Bias in (Large) Language Models Abstract: Entity bias widely affects pretrained (large) language models, causing them to excessively rely on (biased) parametric knowledge to make unfaithful predictions. Although causality-inspired methods have shown great potential to mitigate entity bias...	[ 10357 ]	Train
34,966	28	Title: Prony-Based Super-Resolution Phase Retrieval of Sparse, Multivariate Signals Abstract: Phase retrieval consists in the recovery of an unknown signal from phaseless measurements of its usually complex-valued Fourier transform. Without further assumptions, this problem is notorious to be severe ill posed such that...	[]	Train
34,967	24	Title: Why do universal adversarial attacks work on large language models?: Geometry might be the answer Abstract: Transformer based large language models with emergent capabilities are becoming increasingly ubiquitous in society. However, the task of understanding and interpreting their internal workings, in the conte...	[ 17295 ]	Train
34,968	4	Title: Function synthesis for maximizing model counting Abstract: Given a boolean formula $\Phi$(X, Y, Z), the Max\#SAT problem asks for finding a partial model on the set of variables X, maximizing its number of projected models over the set of variables Y. We investigate a strict generalization of Max\#SAT allowing d...	[]	Train
34,969	16	Title: Improving Selective Visual Question Answering by Learning from Your Peers Abstract: Despite advances in Visual Question Answering (VQA), the ability of models to assess their own correctness remains under-explored. Recent work has shown that VQA models, out-of-the-box, can have difficulties abstaining from answe...	[ 12142, 8854 ]	Train
34,970	30	Title: Writing your own book: A method for going from closed to open book QA to improve robustness and performance of smaller LLMs Abstract: We introduce two novel methods, Tree-Search and Self-contextualizing QA, designed to enhance the performance of large language models (LLMs) in question-answering tasks. Tree-Sear...	[ 13700, 13510 ]	Train
34,971	24	Title: Tabular Machine Learning Methods for Predicting Gas Turbine Emissions Abstract: Predicting emissions for gas turbines is critical for monitoring harmful pollutants being released into the atmosphere. In this study, we evaluate the performance of machine learning models for predicting emissions for gas turbines. ...	[ 45849 ]	Train
34,972	24	Title: SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models Abstract: Model-based imitation learning (MBIL) is a popular reinforcement learning method that improves sample efficiency on high-dimension input sources, such as images and videos. Following the convention of MBIL research, existing algor...	[]	Train
34,973	24	Title: Prediction of single well production rate in water-flooding oil fields driven by the fusion of static, temporal and spatial information Abstract: It is very difficult to forecast the production rate of oil wells as the output of a single well is sensitive to various uncertain factors, which implicitly or explici...	[]	Test
34,974	23	Title: Toward Automatically Completing GitHub Workflows Abstract: Continuous integration and delivery (CI/CD) are nowadays at the core of software development. Their benefits come at the cost of setting up and maintaining the CI/CD pipeline, which requires knowledge and skills often orthogonal to those entailed in othe...	[ 12462 ]	Validation
34,975	30	Title: Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework Abstract: This paper examines how the European press dealt with the no-vax reactions against the Covid-19 vaccine and the dis- and misinformation associated with this movement. Using a curated dataset of 1786 articles from 19 Eur...	[]	Test
34,976	27	Title: Uncertain Pose Estimation during Contact Tasks using Differentiable Contact Features Abstract: For many robotic manipulation and contact tasks, it is crucial to accurately estimate uncertain object poses, for which certain geometry and sensor information are fused in some optimal fashion. Previous results for th...	[]	Validation
34,977	16	Title: U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation Abstract: Deep neural networks have shown exceptional performance in various tasks, but their lack of robustness, reliability, and tendency to be overconfident pose challenges for their deployment in safety-critical applications like autonomous driv...	[ 35306, 4043, 23917 ]	Validation

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