node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
45,178 | 24 | Title: P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups
Abstract: Distributed (or Federated) learning enables users to train machine learning models on their very own devices, while they share only the gradients of their models usually in a differentially private way (utility loss). Although ... | [] | Train |
45,179 | 16 | Title: DDGM: Solving inverse problems by Diffusive Denoising of Gradient-based Minimization
Abstract: Inverse problems generally require a regularizer or prior for a good solution. A recent trend is to train a convolutional net to denoise images, and use this net as a prior when solving the inverse problem. Several pro... | [
14000
] | Validation |
45,180 | 10 | Title: HyperFormer: Enhancing Entity and Relation Interaction for Hyper-Relational Knowledge Graph Completion
Abstract: Hyper-relational knowledge graphs (HKGs) extend standard knowledge graphs by associating attribute-value qualifiers to triples, which effectively represent additional fine-grained information about it... | [
917
] | Test |
45,181 | 30 | Title: ExaRanker: Explanation-Augmented Neural Ranker
Abstract: Recent work has shown that inducing a large language model (LLM) to generate explanations prior to outputting an answer is an effective strategy to improve performance on a wide range of reasoning tasks. In this work, we show that neural rankers also benef... | [
13569,
23629,
397,
206,
16496,
41871
] | Validation |
45,182 | 10 | Title: Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
Abstract: Augmenting large language models (LLMs) with external tools has emerged as a promising approach to extending the capability of LLMs. Although some works employ open-source LLMs for the tool learning task, mos... | [
14592,
27138,
22148,
22023,
14920,
25786,
16556,
3609,
10510,
8978,
42901,
43925,
1401,
634,
22331,
29757,
1854,
3967
] | Train |
45,183 | 24 | Title: Sample Efficient Deep Reinforcement Learning via Local Planning
Abstract: The focus of this work is sample-efficient deep reinforcement learning (RL) with a simulator. One useful property of simulators is that it is typically easy to reset the environment to a previously observed state. We propose an algorithmic... | [
14111
] | Test |
45,184 | 28 | Title: Selection Combining Over Log-Logistic Fading Channels With Applications to Underwater Optical Wireless Communications
Abstract: We study the performance of a selection combining (SC) receiver operating over independent but non-identically distributed log-logistic $(\mathcal {LL})$ fading channels. We first chara... | [] | Test |
45,185 | 4 | Title: MOAT: Towards Safe BPF Kernel Extension
Abstract: The Linux kernel makes considerable use of Berkeley Packet Filter (BPF) to allow user-written BPF applications to execute in the kernel space. BPF employs a verifier to statically check the security of user-supplied BPF code. Recent attacks show that BPF programs... | [] | Test |
45,186 | 16 | Title: ZIGNeRF: Zero-shot 3D Scene Representation with Invertible Generative Neural Radiance Fields
Abstract: Generative Neural Radiance Fields (NeRFs) have demonstrated remarkable proficiency in synthesizing multi-view images by learning the distribution of a set of unposed images. Despite the aptitude of existing gen... | [] | Test |
45,187 | 2 | Title: From proof theory to theories theory
Abstract: In the last decades, several objects such as grammars, economical agents, laws of physics... have been defined as algorithms. In particular, after Brouwer, Heyting, and Kolomogorov, mathematical proofs have been defined as algorithms. In this paper, we show that mat... | [
44328,
30450,
9172
] | Train |
45,188 | 16 | Title: Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts
Abstract: Bias mitigation in image classification has been widely researched, and existing methods have yielded notable results. However, most of these methods implicitly assume that a given image contains only one type of ... | [] | Train |
45,189 | 10 | Title: When Brain-inspired AI Meets AGI
Abstract: Artificial General Intelligence (AGI) has been a long-standing goal of humanity, with the aim of creating machines capable of performing any intellectual task that humans can do. To achieve this, AGI researchers draw inspiration from the human brain and seek to replicat... | [
20355,
11273,
139,
24,
30243,
25892,
36263,
3624,
31147,
24756,
41013,
7996,
23230,
575,
5312,
45505,
16581,
13510,
40136,
16471,
21594,
3071,
12128,
35041,
21989,
11497,
44272,
1151
] | Train |
45,190 | 4 | Title: RatGPT: Turning online LLMs into Proxies for Malware Attacks
Abstract: The evolution of Generative AI and the capabilities of the newly released Large Language Models (LLMs) open new opportunities in software engineering. However, they also lead to new challenges in cybersecurity. Recently, researchers have show... | [
13700,
36196,
14536,
16715,
18764,
46066,
24467,
14742
] | Train |
45,191 | 24 | Title: DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets
Abstract: One of the grand challenges of cell biology is inferring the gene regulatory network (GRN) which describes interactions between genes and their products that control gene expression and cellular function. We can treat this as... | [] | Train |
45,192 | 18 | Title: Emerging Nonvolatile Memories for Machine Learning
Abstract: Digital computers have been getting exponentially faster for decades, but huge challenges exist today. Transistor scaling, described by Moore's law, has been slowing down over the last few years, ending the era of fully predictable performance improvem... | [
17606
] | Test |
45,193 | 23 | Title: Towards Fine-Grained Localization of Privacy Behaviors
Abstract: Privacy labels help developers communicate their application’s privacy behaviors (i.e., how and why an application uses personal information) to users. But, studies show that developers face several challenges in creating them and the resultant lab... | [
5039
] | Train |
45,194 | 16 | Title: End-to-end Unsupervised Learning of Long-Term 3D Stable objects
Abstract: In this research, we present an end-to-end data-driven pipeline for determining the long-term stability status of objects within a given environment, specifically distinguishing between static and dynamic objects. Understanding object stab... | [] | Train |
45,195 | 24 | Title: Improved Sales Forecasting using Trend and Seasonality Decomposition with LightGBM
Abstract: Retail sales forecasting presents a significant challenge for large retailers such as Walmart and Amazon, due to the vast assortment of products, geographical location heterogeneity, seasonality, and external factors inc... | [] | Train |
45,196 | 4 | Title: Students Parrot Their Teachers: Membership Inference on Model Distillation
Abstract: Model distillation is frequently proposed as a technique to reduce the privacy leakage of machine learning. These empirical privacy defenses rely on the intuition that distilled ``student'' models protect the privacy of training... | [
34107,
28972
] | Train |
45,197 | 30 | Title: FGSI: distant supervision for relation extraction method based on fine-grained semantic information
Abstract: nan | [] | Train |
45,198 | 37 | Title: Object-Centric Alignments
Abstract: Processes tend to interact with other processes and operate on various objects of different types. These objects can influence each other creating dependencies between sub-processes. Analyzing the conformance of such complex processes challenges traditional conformance-checkin... | [] | Test |
45,199 | 4 | Title: Tecnicas Avanzadas de Ciberseguridad: Integracion y Evolucion de la Kill Chain en Diversos Escenarios
Abstract: The document provides an in-depth analysis of the main attack chain models used in cybersecurity, including the Lockheed Martin Cyber Kill Chain framework, the MITER ATT&CK framework, the Diamond model... | [] | Train |
45,200 | 24 | Title: Transfer Learning for Bayesian Optimization: A Survey
Abstract: A wide spectrum of design and decision problems, including parameter tuning, A/B testing and drug design, intrinsically are instances of black-box optimization. Bayesian optimization (BO) is a powerful tool that models and optimizes such expensive"b... | [
11380,
3734,
40663
] | Train |
45,201 | 30 | Title: Affect as a proxy for literary mood
Abstract: We propose to use affect as a proxy for mood in literary texts. In this
study, we explore the differences in computationally detecting tone versus
detecting mood. Methodologically we utilize affective word embeddings to look
at the affective distribution in different... | [] | Train |
45,202 | 30 | Title: An evaluation of Google Translate for Sanskrit to English translation via sentiment and semantic analysis
Abstract: Google Translate has been prominent for language translation; however, limited work has been done in evaluating the quality of translation when compared to human experts. Sanskrit one of the oldest... | [] | Train |
45,203 | 2 | Title: Explanation: from ethics to logic
Abstract: When a decision, such as the approval or denial of a bank loan, is delegated to a computer, an explanation of that decision ought to be given with it. This ethical need to explain the decisions leads to the search for a formal definition of the notion of explanation. T... | [] | Validation |
45,204 | 27 | Title: Deadlock-Free Collision Avoidance for Nonholonomic Robots
Abstract: We present a method for deadlock-free and collision-free navigation in a multi-robot system with nonholonomic robots. The problem is solved by quadratic programming and is applicable to most wheeled mobile robots with linear kinematic constraint... | [] | Validation |
45,205 | 16 | Title: Video BagNet: short temporal receptive fields increase robustness in long-term action recognition
Abstract: Previous work on long-term video action recognition relies on deep 3D-convolutional models that have a large temporal receptive field (RF). We argue that these models are not always the best choice for tem... | [
39173
] | Train |
45,206 | 10 | Title: Tracking mulitple targets with multiple radars using Distributed Auctions
Abstract: Coordination of radars can be performed in various ways. To be more resilient radar networks can be coordinated in a decentralized way. In this paper, we introduce a highly resilient algorithm for radar coordination based on dece... | [] | Train |
45,207 | 30 | Title: Dataflow Dialogue Generation
Abstract: We demonstrate task-oriented dialogue generation within the dataflow dialogue paradigm. We show an example of agenda driven dialogue generation for the MultiWOZ domain, and an example of generation without an agenda for the SMCalFlow domain, where we show an improvement in ... | [] | Train |
45,208 | 16 | Title: Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images Based on Physiological and Anatomical Cues
Abstract: Recently, deep learning enabled the accurate segmentation of various diseases in medical imaging. These performances, however, typically demand large amounts of manual vo... | [
29553
] | Train |
45,209 | 24 | Title: TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-Based Memory Network
Abstract: Clinical trials are critical for drug development but often suffer from expensive and inefficient patient recruitment. In recent years, machine learning models have been proposed for speeding up patient re... | [] | Train |
45,210 | 24 | Title: Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks
Abstract: In this work, we reveal a strong implicit bias of stochastic gradient descent (SGD) that drives overly expressive networks to much simpler subnetworks, thereby dramatically reducing the number of independent param... | [
36560,
11121,
25529,
41249
] | Train |
45,211 | 30 | Title: Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation
Abstract: Incorporating external graph knowledge into neural chatbot models has been proven effective for enhancing dialogue generation. However, in conventional graph neural networks (GNNs), message passing on a graph is independent from text... | [
38932,
30895
] | Train |
45,212 | 14 | Title: Explainable AI Insights for Symbolic Computation: A case study on selecting the variable ordering for cylindrical algebraic decomposition
Abstract: In recent years there has been increased use of machine learning (ML) techniques within mathematics, including symbolic computation where it may be applied safely to... | [
17752
] | Test |
45,213 | 30 | Title: Unveiling the Potential of Knowledge-Prompted ChatGPT for Enhancing Drug Trafficking Detection on Social Media
Abstract: Social media platforms such as Instagram and Twitter have emerged as critical channels for drug marketing and illegal sale. Detecting and labeling online illicit drug trafficking activities be... | [
40192,
13700,
28374
] | Validation |
45,214 | 16 | Title: Stall Number Detection of Cow Teats Key Frames
Abstract: In this paper, we present a small cow stall number dataset named CowStallNumbers, which is extracted from cow teat videos with the goal of advancing cow stall number detection. This dataset contains 1042 training images and 261 test images with the stall n... | [] | Validation |
45,215 | 27 | Title: Can Large Language Models design a Robot?
Abstract: Large Language Models can lead researchers in the design of robots. | [
8084,
4871
] | Validation |
45,216 | 33 | Title: Revisiting Variable Ordering for Real Quantifier Elimination using Machine Learning
Abstract: Cylindrical Algebraic Decomposition (CAD) is a key proof technique for formal verification of cyber-physical systems. CAD is computationally expensive, with worst-case doubly-exponential complexity. Selecting an optimal... | [
17752
] | Test |
45,217 | 16 | Title: Toward High Quality Facial Representation Learning
Abstract: Face analysis tasks have a wide range of applications, but the universal facial representation has only been explored in a few works. In this paper, we explore high-performance pre-training methods to boost the face analysis tasks such as face alignmen... | [] | Train |
45,218 | 16 | Title: Implicit neural representation for change detection
Abstract: Identifying changes in a pair of 3D aerial LiDAR point clouds, obtained during two distinct time periods over the same geographic region presents a significant challenge due to the disparities in spatial coverage and the presence of noise in the acqui... | [
19176,
20769,
28006
] | Validation |
45,219 | 24 | Title: Cauchy Loss Function: Robustness Under Gaussian and Cauchy Noise
Abstract: nan | [] | Validation |
45,220 | 30 | Title: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems
Abstract: Dialogue response selection aims to select an appropriate response from several candidates based on a given user and system utterance history. Recent studies have been improving the accuracy of dialogue response selection through post-... | [] | Validation |
45,221 | 24 | Title: Probabilistic Circuits That Know What They Don't Know
Abstract: Probabilistic circuits (PCs) are models that allow exact and tractable probabilistic inference. In contrast to neural networks, they are often assumed to be well-calibrated and robust to out-of-distribution (OOD) data. In this paper, we show that PC... | [] | Train |
45,222 | 24 | Title: Neural Architecture Search: Insights from 1000 Papers
Abstract: In the past decade, advances in deep learning have resulted in breakthroughs in a variety of areas, including computer vision, natural language understanding, speech recognition, and reinforcement learning. Specialized, high-performing neural archit... | [
37061,
35402,
45738,
16462,
8654,
3804
] | Test |
45,223 | 23 | Title: Eunomia: Enabling User-Specified Fine-Grained Search in Symbolically Executing WebAssembly Binaries
Abstract: Although existing techniques have proposed automated approaches to alleviate the path explosion problem of symbolic execution, users still need to optimize symbolic execution by applying various searchin... | [
18194,
1774
] | Test |
45,224 | 24 | Title: Learning from Exemplary Explanations
Abstract: eXplanation Based Learning (XBL) is a form of Interactive Machine Learning (IML) that provides a model refining approach via user feedback collected on model explanations. Although the interactivity of XBL promotes model transparency, XBL requires a huge amount of u... | [] | Validation |
45,225 | 30 | Title: Evaluating and Enhancing Structural Understanding Capabilities of Large Language Models on Tables via Input Designs
Abstract: Large language models (LLMs) are becoming attractive as few-shot reasoners to solve NL-related tasks. However, there is still much to be learned about how well LLMs understand structured ... | [
1292
] | Train |
45,226 | 16 | Title: Forward-Forward Contrastive Learning
Abstract: Medical image classification is one of the most important tasks for computer-aided diagnosis. Deep learning models, particularly convolutional neural networks, have been successfully used for disease classification from medical images, facilitated by automated featu... | [] | Validation |
45,227 | 16 | Title: How Will It Drape Like? Capturing Fabric Mechanics from Depth Images
Abstract: We propose a method to estimate the mechanical parameters of fabrics using a casual capture setup with a depth camera. Our approach enables to create mechanically‐correct digital representations of real‐world textile materials, which ... | [
5884
] | Train |
45,228 | 24 | Title: First-order ANIL learns linear representations despite misspecified latent dimension
Abstract: Due to its empirical success in few-shot classification and reinforcement learning, meta-learning has recently received significant interest. Meta-learning methods leverage data from previous tasks to learn a new task ... | [
3241,
30550
] | Train |
45,229 | 6 | Title: Redefining Computer Science Education: Code-Centric to Natural Language Programming with AI-Based No-Code Platforms
Abstract: This paper delves into the evolving relationship between humans and computers in the realm of programming. Historically, programming has been a dialogue where humans meticulously crafted ... | [
4976,
4937,
18960
] | Train |
45,230 | 10 | Title: Credit Assignment: Challenges and Opportunities in Developing Human-like AI Agents
Abstract: Temporal credit assignment is crucial for learning and skill development in natural and artificial intelligence. While computational methods like the TD approach in reinforcement learning have been proposed, it's unclear... | [
28685
] | Test |
45,231 | 16 | Title: High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation
Abstract: The task of image-level weakly-supervised semantic segmentation (WSSS) has gained popularity in recent years, as it reduces the vast data annotation cost for training segmentation models. The typical approach for WSSS involves trai... | [] | Train |
45,232 | 27 | Title: Convex Approximation for Probabilistic Reachable Set under Data-driven Uncertainties
Abstract: This paper is proposed to efficiently provide a convex approximation for the probabilistic reachable set of a dynamic system in the face of uncertainties. When the uncertainties are not limited to bounded ones, it may ... | [] | Test |
45,233 | 24 | Title: Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
Abstract: Graph learning methods, such as Graph Neural Networks (GNNs) based on graph convolutions, are highly successful in solving real-world learning problems involving graph-structured data. However, graph learning meth... | [] | Train |
45,234 | 6 | Title: To Classify is to Interpret: Building Taxonomies from Heterogeneous Data through Human-AI Collaboration
Abstract: Taxonomy building is a task that requires interpreting and classifying data within a given frame of reference, which comes to play in many areas of application that deal with knowledge and informatio... | [] | Train |
45,235 | 31 | Title: A Survey on Asking Clarification Questions Datasets in Conversational Systems
Abstract: The ability to understand a user’s underlying needs is critical for conversational systems, especially with limited input from users in a conversation. Thus, in such a domain, Asking Clarification Questions (ACQs) to reveal u... | [
39992
] | Train |
45,236 | 16 | Title: Seeing Through the Glass: Neural 3D Reconstruction of Object Inside a Transparent Container
Abstract: In this paper, we define a new problem of recovering the 3D geometry of an object confined in a transparent enclosure. We also propose a novel method for solving this challenging problem. Transparent enclosures ... | [] | Train |
45,237 | 36 | Title: Computing Adequately Permissive Assumptions for Synthesis
Abstract: We solve the problem of automatically computing a new class of environment assumptions in two-player turn-based finite graph games which characterize an ``adequate cooperation'' needed from the environment to allow the system player to win. Give... | [
44241,
1013
] | Train |
45,238 | 24 | Title: No-regret Algorithms for Fair Resource Allocation
Abstract: We consider a fair resource allocation problem in the no-regret setting against an unrestricted adversary. The objective is to allocate resources equitably among several agents in an online fashion so that the difference of the aggregate $\alpha$-fair u... | [
30412
] | Train |
45,239 | 30 | Title: Opportunities and Challenges in Neural Dialog Tutoring
Abstract: Designing dialog tutors has been challenging as it involves modeling the diverse and complex pedagogical strategies employed by human tutors. Although there have been significant recent advances in neural conversational systems using large language... | [
34730,
35465,
19778,
31924
] | Train |
45,240 | 28 | Title: Secure Short-Packet Communications via UAV-Enabled Mobile Relaying: Joint Resource Optimization and 3D Trajectory Design
Abstract: Short-packet communication (SPC) and unmanned aerial vehicles (UAVs) are anticipated to play crucial roles in the development of 5G-and-beyond wireless networks and the Internet of T... | [] | Train |
45,241 | 30 | Title: Improving Vietnamese Legal Question-Answering System based on Automatic Data Enrichment
Abstract: Question answering (QA) in law is a challenging problem because legal documents are much more complicated than normal texts in terms of terminology, structure, and temporal and logical relationships. It is even more... | [] | Test |
45,242 | 30 | Title: Multimodal Chain-of-Thought Reasoning in Language Models
Abstract: Large language models (LLMs) have shown impressive performance on complex reasoning by leveraging chain-of-thought (CoT) prompting to generate intermediate reasoning chains as the rationale to infer the answer. However, existing CoT studies have ... | [
7424,
7936,
40192,
27397,
8838,
25607,
19983,
27282,
4628,
8084,
43668,
38167,
45590,
3609,
17564,
12957,
11425,
28450,
2211,
32034,
12709,
16549,
26792,
44584,
7982,
6963,
10163,
6453,
42165,
45494,
44728,
1854,
6719,
22334,
2369,
39360,
35524... | Train |
45,243 | 30 | Title: Towards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in NLG Evaluation
Abstract: N-gram matching-based evaluation metrics, such as BLEU and chrF, are widely utilized across a range of natural language generation (NLG) tasks. However, recent studies have revealed a weak correl... | [
40192,
17061,
23238,
29396,
35545,
15358
] | Train |
45,244 | 6 | Title: Patterns of Social Vulnerability - An Interactive Dashboard to Explore Risks to Public Health on the US County Level
Abstract: Social vulnerability is the susceptibility of a community to be adversely impacted by natural hazards and public health emergencies, such as drought, earthquakes, flooding, virus outbrea... | [] | Validation |
45,245 | 16 | Title: On Evaluating Adversarial Robustness of Large Vision-Language Models
Abstract: Large vision-language models (VLMs) such as GPT-4 have achieved unprecedented performance in response generation, especially with visual inputs, enabling more creative and adaptable interaction than large language models such as ChatG... | [
10624,
23425,
13700,
12297,
41104,
3609,
4251,
39840,
7586,
30243,
295,
13224,
16556,
12602,
1854,
10332,
13408,
37987,
22886,
42983,
6770,
8436,
23285,
13564
] | Test |
45,246 | 16 | Title: Federated Alternate Training (Fat): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging
Abstract: Federated Learning (FL) aims to train a machine learning (ML) model in a distributed fashion to strengthen data privacy with limited data migration costs. It is a distributed learning fra... | [
3839
] | Train |
45,247 | 16 | Title: WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification
Abstract: Currently, style augmentation is capturing attention due to convolutional neural networks (CNN) being strongly biased toward recognizing textures rather than shapes. Most existing styli... | [] | Validation |
45,248 | 24 | Title: Variational Classification
Abstract: We present a latent variable generalisation of neural network softmax classification trained with cross-entropy loss, referred to as variational classification (VC). Our approach offers a novel probabilistic perspective on the highly familiar softmax classification model, to ... | [] | Train |
45,249 | 4 | Title: Correlation-Aware Neural Networks for DDoS Attack Detection In IoT Systems
Abstract: We present a comprehensive study on applying machine learning to detect distributed Denial of service (DDoS) attacks using large-scale Internet of Things (IoT) systems. While prior works and existing DDoS attacks have largely fo... | [] | Train |
45,250 | 6 | Title: Mapping Computer Science Research: Trends, Influences, and Predictions
Abstract: This paper explores the current trending research areas in the field of Computer Science (CS) and investigates the factors contributing to their emergence. Leveraging a comprehensive dataset comprising papers, citations, and funding... | [] | Train |
45,251 | 24 | Title: Explainable Disparity Compensation for Efficient Fair Ranking
Abstract: Ranking functions that are used in decision systems often produce disparate results for different populations because of bias in the underlying data. Addressing, and compensating for, these disparate outcomes is a critical problem for fair d... | [] | Test |
45,252 | 24 | Title: Multi-objective Molecular Optimization for Opioid Use Disorder Treatment Using Generative Network Complex
Abstract: Opioid Use Disorder (OUD) has emerged as a significant global public health issue, with complex multifaceted conditions. Due to the lack of effective treatment options for various conditions, there... | [
28932
] | Train |
45,253 | 4 | Title: Composition in Differential Privacy for General Granularity Notions (Long Version)
Abstract: The composition theorems of differential privacy (DP) allow data curators to combine different algorithms to obtain a new algorithm that continues to satisfy DP. However, new granularity notions (i.e., neighborhood defin... | [] | Train |
45,254 | 16 | Title: Development, optimization, and deployment of thermal forward vision systems for advance vehicular applications on edge devices
Abstract: In this research work, we have proposed a thermal tiny-YOLO multi-class object detection (TTYMOD) system as a smart forward sensing system that should remain effective in all w... | [] | Train |
45,255 | 24 | Title: Identifiability of Discretized Latent Coordinate Systems via Density Landmarks Detection
Abstract: Disentanglement aims to recover meaningful latent ground-truth factors from only the observed distribution. Identifiability provides the theoretical grounding for disentanglement to be well-founded. Unfortunately, ... | [] | Train |
45,256 | 16 | Title: Tracking Objects and Activities with Attention for Temporal Sentence Grounding
Abstract: Temporal sentence grounding (TSG) aims to localize the temporal segment which is semantically aligned with a natural language query in an untrimmed video.Most existing methods extract frame-grained features or object-grained... | [
474,
8317,
8534
] | Train |
45,257 | 8 | Title: Cross-link Interference Modeling in 6G Millimeter Wave and Terahertz LEO Satellite Communications
Abstract: One of the important questions when discussing next-generation near-Earth mmWave and terahertz (THz) band satellite communications as an integral part of the 5G-Advanced and 6G landscape is the potential i... | [] | Train |
45,258 | 23 | Title: A Survey on Automated Program Repair Techniques
Abstract: With the rapid development and large-scale popularity of program software, modern society increasingly relies on software systems. However, the problems exposed by software have also come to the fore. Software defect has become an important factor troubli... | [
42577
] | Validation |
45,259 | 16 | Title: Segmentation and Tracking of Vegetable Plants by Exploiting Vegetable Shape Feature for Precision Spray of Agricultural Robots
Abstract: With the increasing deployment of agricultural robots, the traditional manual spray of liquid fertilizer and pesticide is gradually being replaced by agricultural robots. For r... | [] | Train |
45,260 | 27 | Title: A Comprehensive Architecture for Dynamic Role Allocation and Collaborative Task Planning in Mixed Human-Robot Teams
Abstract: The growing deployment of human-robot collaborative processes in several industrial applications, such as handling, welding, and assembly, unfolds the pursuit of systems which are able to... | [] | Validation |
45,261 | 31 | Title: T2Ranking: A Large-scale Chinese Benchmark for Passage Ranking
Abstract: Passage ranking involves two stages: passage retrieval and passage re-ranking, which are important and challenging topics for both academics and industries in the area of Information Retrieval (IR). However, the commonly-used datasets for p... | [
11137,
9804,
1522,
26643,
26163,
37398
] | Train |
45,262 | 4 | Title: Evaluating Homomorphic Operations on a Real-World Processing-In-Memory System
Abstract: Computing on encrypted data is a promising approach to reduce data security and privacy risks, with homomorphic encryption serving as a facilitator in achieving this goal. In this work, we accelerate homomorphic operations us... | [
18243
] | Test |
45,263 | 27 | Title: EnsembleFollower: A Hybrid Car-Following Framework Based On Reinforcement Learning and Hierarchical Planning
Abstract: Car-following models have made significant contributions to our understanding of longitudinal driving behavior. However, they often exhibit limited accuracy and flexibility, as they cannot fully... | [
6653
] | Test |
45,264 | 24 | Title: Neural (Tangent Kernel) Collapse
Abstract: This work bridges two important concepts: the Neural Tangent Kernel (NTK), which captures the evolution of deep neural networks (DNNs) during training, and the Neural Collapse (NC) phenomenon, which refers to the emergence of symmetry and structure in the last-layer fea... | [
25939
] | Train |
45,265 | 31 | Title: It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation
Abstract: Linear autoencoder models learn an item-to-item weight matrix via convex optimization with L2 regularization and zero-diagonal constraints. Despite their simplicity, they have shown remarkable performance compared to s... | [
33360
] | Train |
45,266 | 36 | Title: Learning Parameterized Families of Games
Abstract: Nearly all simulation-based games have environment parameters that affect incentives in the interaction but are not explicitly incorporated into the game model. To understand the impact of these parameters on strategic incentives, typical game-theoretic analysis... | [] | Validation |
45,267 | 16 | Title: Graph-based Topology Reasoning for Driving Scenes
Abstract: Understanding the road genome is essential to realize autonomous driving. This highly intelligent problem contains two aspects - the connection relationship of lanes, and the assignment relationship between lanes and traffic elements, where a comprehens... | [
33251,
32358,
18283,
6479,
23217,
13596,
29054
] | Test |
45,268 | 28 | Title: Timely Multi-Goal Transmissions With an Intermittently Failing Sensor
Abstract: A sensor observes a random phenomenon and transmits updates about the observed phenomenon to a remote monitor. The sensor may experience intermittent failures in which case the monitor will not receive any updates until the sensor ha... | [
39973,
39165
] | Train |
45,269 | 16 | Title: Rehabilitation Exercise Repetition Segmentation and Counting Using Skeletal Body Joints
Abstract: Physical exercise is an essential component of rehabilitation programs that improve quality of life and reduce mortality and re-hospitalization rates. In AI-driven virtual rehabilitation programs, patients complete ... | [
21124
] | Train |
45,270 | 16 | Title: EfficientRep: An Efficient Repvgg-style ConvNets with Hardware-aware Neural Network Design
Abstract: We present a hardware-efficient architecture of convolutional neural network, which has a repvgg-like architecture. Flops or parameters are traditional metrics to evaluate the efficiency of networks which are not... | [
38121,
1323
] | Train |
45,271 | 3 | Title: Comparability of Automated Vehicle Crash Databases
Abstract: Advanced driving assistance systems are available on many late-model vehicles, and automated driving systems are testing on public roads. Regulators and developers continue to assess the safety of these vehicles by comparing automated vehicle crash rat... | [
12114
] | Validation |
45,272 | 24 | Title: Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling
Abstract: In this work, we demonstrate how to reliably estimate epistemic uncertainty while maintaining the flexibility needed to capture complicated aleatoric distributions. To this end, we propose an ensemble of Normalizing Flows ... | [
42157
] | Train |
45,273 | 30 | Title: A Survey of Spanish Clinical Language Models
Abstract: This survey focuses in encoder Language Models for solving tasks in the clinical domain in the Spanish language. We review the contributions of 17 corpora focused mainly in clinical tasks, then list the most relevant Spanish Language Models and Spanish Clini... | [
13700,
15301,
21574,
35580,
11273,
3339,
23759,
2291,
43641,
9403,
27708,
6942
] | Test |
45,274 | 30 | Title: Schema-Guided Semantic Accuracy: Faithfulness in Task-Oriented Dialogue Response Generation
Abstract: Ensuring that generated utterances are faithful to dialogue actions is crucial for Task-Oriented Dialogue Response Generation. Slot Error Rate (SER) only partially measures generation quality in that it solely a... | [] | Train |
45,275 | 24 | Title: Eliciting Latent Predictions from Transformers with the Tuned Lens
Abstract: We analyze transformers from the perspective of iterative inference, seeking to understand how model predictions are refined layer by layer. To do so, we train an affine probe for each block in a frozen pretrained model, making it possi... | [
13955,
30435,
24134,
41766,
31851,
18764,
33439,
3601,
26161,
9619,
6932,
26165,
35955,
43376,
46002,
46109,
29375
] | Train |
45,276 | 30 | Title: Learning to Predict Concept Ordering for Common Sense Generation
Abstract: Prior work has shown that the ordering in which concepts are shown to a commonsense generator plays an important role, affecting the quality of the generated sentence. However, it remains a challenge to determine the optimal ordering of a... | [
45242,
1893
] | Train |
45,277 | 10 | Title: Human Values in Multiagent Systems
Abstract: One of the major challenges we face with ethical AI today is developing computational systems whose reasoning and behaviour are provably aligned with human values. Human values, however, are notorious for being ambiguous, contradictory and ever-changing. In order to b... | [] | Train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.