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
27,678	23	Title: Overcoming the Mental Set Effect in Programming Problem Solving Abstract: This paper adopts a cognitive psychology perspective to investigate the recurring mistakes in code resulting from the mental set (Einstellung) effect. The Einstellung effect is the tendency to approach problem-solving with a preconceived m...	[]	Train
27,679	30	Title: Self-Critique Prompting with Large Language Models for Inductive Instructions Abstract: Numerous works are proposed to improve or evaluate the capabilities of Large language models (LLMs) to fulfill user instructions. However, they neglect the possibility that user inputs may inherently contain incorrect informa...	[ 8580, 15692, 26775, 39576, 40055, 6942 ]	Train
27,680	27	Title: Scale jump-aware pose graph relaxation for monocular SLAM with re-initializations Abstract: Pose graph relaxation has become an indispensable addition to SLAM enabling efficient global registration of sensor reference frames under the objective of satisfying pair-wise relative transformation constraints. The lat...	[]	Train
27,681	33	Title: Reversible Two-Party Computations Abstract: Deterministic synchronous systems consisting of two finite automata running in opposite directions on a shared read-only input are studied with respect to their ability to perform reversible computations, which means that the automata are also backward deterministic an...	[]	Train
27,682	24	Title: GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations Abstract: Counterfactual explanations have been widely studied in explainability, with a range of application dependent methods prominent in fairness, recourse and model understanding. The major shortcoming associated with these method...	[]	Train
27,683	34	Title: Optimizing Low Dimensional Functions over the Integers Abstract: We consider box-constrained integer programs with objective $g(Wx) + c^T x$, where $g$ is a"complicated"function with an $m$ dimensional domain. Here we assume we have $n \gg m$ variables and that $W \in \mathbb Z^{m \times n}$ is an integer matrix...	[]	Train
27,684	10	Title: Unsupervised Opinion Aggregation - A Statistical Perspective Abstract: Complex decision-making systems rarely have direct access to the current state of the world and they instead rely on opinions to form an understanding of what the ground truth could be. Even in problems where experts provide opinions without ...	[]	Train
27,685	10	Title: On the Uses of Large Language Models to Interpret Ambiguous Cyberattack Descriptions Abstract: The volume, variety, and velocity of change in vulnerabilities and exploits have made incident threat analysis challenging with human expertise and experience along. Tactics, Techniques, and Procedures (TTPs) are to de...	[ 40192, 43641, 5815 ]	Test
27,686	8	Title: Dynamic Capacity Enhancement using Air Computing: An Earthquake Case Abstract: Earthquakes are one of the most destructive natural disasters harming life and the infrastructure of cities. After an earthquake, functioning communication and computational capacity are crucial for rescue teams and healthcare of vict...	[]	Train
27,687	24	Title: An Operational Perspective to Fairness Interventions: Where and How to Intervene Abstract: As AI-based decision systems proliferate, their successful operationalization requires balancing multiple desiderata: predictive performance, disparity across groups, safeguarding sensitive group attributes (e.g., race), a...	[ 38421 ]	Train
27,688	16	Title: High-fidelity 3D Face Generation from Natural Language Descriptions Abstract: Synthesizing high-quality 3D face models from natural language descriptions is very valuable for many applications, including avatar creation, virtual reality, and telepresence. However, little research ever tapped into this task. We a...	[ 16069, 23593, 39340, 11405 ]	Validation
27,689	30	Title: Ticket-BERT: Labeling Incident Management Tickets with Language Models Abstract: An essential aspect of prioritizing incident tickets for resolution is efficiently labeling tickets with fine-grained categories. However, ticket data is often complex and poses several unique challenges for modern machine learning ...	[]	Train
27,690	25	Title: LibriWASN: A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous Recording Devices Abstract: We present LibriWASN, a data set whose design follows closely the LibriCSS meeting recognition data set, with the marked difference that the data is recorded with devices that are randomly pos...	[]	Test
27,691	27	Title: Combining DVL-INS and Laser-Based Loop Closures in a Batch Estimation Framework for Underwater Positioning Abstract: Correcting gradual position drift is a challenge in long-term subsea navigation. Though highly accurate, modern inertial navigation system (INS) estimates will drift over time due to the accumulat...	[ 17415 ]	Validation
27,692	4	Title: Exploring Security Commits in Python Abstract: Python has become the most popular programming language as it is friendly to work with for beginners. However, a recent study has found that most security issues in Python have not been indexed by CVE and may only be fixed by 'silent' security commits, which pose a ...	[]	Train
27,693	31	Title: CAM2: Conformity-Aware Multi-Task Ranking Model for Large-Scale Recommender Systems Abstract: Learning large-scale industrial recommender system models by fitting them to historical user interaction data makes them vulnerable to conformity bias. This may be due to a number of factors, including the fact that use...	[]	Validation
27,694	6	Title: A Context-Sensitive Approach to XAI in Music Performance Abstract: The rapidly evolving field of Explainable Artificial Intelligence (XAI) has generated significant interest in developing methods to make AI systems more transparent and understandable. However, the problem of explainability cannot be exhaustively...	[]	Train
27,695	23	Title: QuCAT: A Combinatorial Testing Tool for Quantum Software Abstract: With the increased developments in quantum computing, the availability of systematic and automatic testing approaches for quantum programs is becoming increasingly essential. To this end, we present the quantum software testing tool QuCAT for com...	[]	Test
27,696	24	Title: Memory-adaptive Depth-wise Heterogenous Federated Learning Abstract: Federated learning is a promising paradigm that allows multiple clients to collaboratively train a model without sharing the local data. However, the presence of heterogeneous devices in federated learning, such as mobile phones and IoT devices...	[ 6942, 33871 ]	Train
27,697	20	Title: Tree Drawings with Columns Abstract: Our goal is to visualize an additional data dimension of a tree with multifaceted data through superimposition on vertical strips, which we call columns. Specifically, we extend upward drawings of unordered rooted trees where vertices have assigned heights by mapping each ver...	[ 15640 ]	Validation
27,698	33	Title: Optimizing an LTS-Simulation Algorithm (Technical Report) Abstract: When comparing the fastest algorithm for computing the largest simulation preorder over Kripke structures with the one for labeled transition systems (LTS), there is a noticeable time and space complexity blow-up proportional to the size of the ...	[]	Validation
27,699	8	Title: QoT estimation using EGN-assisted machine learning for multi-period network planning Abstract: The rapidly growing traffic demands in fiber-optical networks require flexibility and accuracy in configuring lightpaths, for which fast and accurate quality of transmission (QoT) estimation is of pivotal importance. T...	[]	Validation
27,700	30	Title: Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? Abstract: Recent advancements in Large Language Models (LLMs) have drawn increasing attention since the learned embeddings pretrained on large-scale datasets have shown powerful ability ...	[ 36167 ]	Test
27,701	24	Title: TinyMetaFed: Efficient Federated Meta-Learning for TinyML Abstract: The field of Tiny Machine Learning (TinyML) has made substantial advancements in democratizing machine learning on low-footprint devices, such as microcontrollers. The prevalence of these miniature devices raises the question of whether aggregat...	[ 37549 ]	Train
27,702	24	Title: Pixel to policy: DQN Encoders for within & cross-game reinforcement learning Abstract: Reinforcement Learning can be applied to various tasks, and environments. Many of these environments have a similar shared structure, which can be exploited to improve RL performance on other tasks. Transfer learning can be us...	[]	Train
27,703	16	Title: Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement Abstract: We propose Dataset Reinforcement, a strategy to improve a dataset once such that the accuracy of any model architecture trained on the reinforced dataset is improved at no additional training cost for use...	[]	Train
27,704	16	Title: Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective Abstract: For medical image segmentation, contrastive learning is the dominant practice to improve the quality of visual representations by contrasting semantically similar and dissimilar pairs of samples. This is enabled by ...	[ 45551, 13744, 595, 3220, 12211, 26678, 24855, 35798, 17946 ]	Validation
27,705	23	Title: Discrepancies among pre-trained deep neural networks: a new threat to model zoo reliability Abstract: Training deep neural networks (DNNs) takes significant time and resources. A practice for expedited deployment is to use pre-trained deep neural networks (PTNNs), often from model zoos--collections of PTNNs; yet...	[ 25738, 39133, 40074 ]	Train
27,706	16	Title: VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams Abstract: In stark contrast to the case of images, finding a concise, learnable discrete representation of 3D surfaces remains a challenge. In particular, while polygon meshes are arguably the most common surface representation used in geometry p...	[]	Validation
27,707	30	Title: Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines Abstract: The detection of hate speech in political discourse is a critical issue, and this becomes even more challenging in low-resource languages. To address this issue, we introduce a new dataset named I...	[]	Validation
27,708	30	Title: ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive Evaluation Abstract: Large language models have exhibited exceptional performance on various Natural Language Processing (NLP) tasks, leveraging techniques such as the pre-training, and instruction fine-tuning. Despite these...	[ 45273, 13700 ]	Train
27,709	24	Title: Smoothing the Rough Edges: Evaluating Automatically Generated Multi-Lattice Transitions Abstract: Additive manufacturing is advantageous for producing lightweight components while addressing complex design requirements. This capability has been bolstered by the introduction of unit lattice cells and the gradatio...	[]	Test
27,710	27	Title: GaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics Abstract: Gaussian Processes (GPs) are expressive models for capturing signal statistics and expressing prediction uncer-tainty. As a result, the robotics community has gathered interest in leveraging these metho...	[]	Train
27,711	27	Title: Optimal Energy Management of Plug-in Hybrid Vehicles Through Exploration-to-Exploitation Ratio Control in Ensemble Reinforcement Learning Abstract: Developing intelligent energy management systems with high adaptability and superiority is necessary and significant for Hybrid Electric Vehicles (HEVs). This paper ...	[ 18974 ]	Train
27,712	28	Title: Exactly Tight Information-Theoretic Generalization Error Bound for the Quadratic Gaussian Problem Abstract: We provide a new information-theoretic generalization error bound that is exactly tight (i.e., matching even the constant) for the canonical quadratic Gaussian mean estimation problem. Despite considerable...	[]	Validation
27,713	16	Title: Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations Abstract: Fine-grained and instance-level recognition methods are commonly trained and evaluated on specific domains, in a model per domain scenario. Such an approach, however, is impractical in real large-s...	[ 4643 ]	Train
27,714	23	Title: Using Spoofax to Support Online Code Navigation Abstract: Spoofax is a language workbench. A Spoofax language specification generally includes name resolution: the analysis of bindings between definitions and references. When browsing code in the specified language using Spoofax, the bindings appear as hyperlink...	[ 43674 ]	Validation
27,715	24	Title: Flow Matching for Scalable Simulation-Based Inference Abstract: Neural posterior estimation methods based on discrete normalizing flows have become established tools for simulation-based inference (SBI), but scaling them to high-dimensional problems can be challenging. Building on recent advances in generative m...	[ 36483 ]	Validation
27,716	28	Title: Soft-Output Deep Neural Network-Based Decoding Abstract: Deep neural network (DNN)-based channel decoding is widely considered in the literature. The existing solutions are investigated for the case of hard output, i.e. when the decoder returns the estimated information word. At the same time, soft-output decodi...	[]	Validation
27,717	24	Title: Meta-Learning Mini-Batch Risk Functionals Abstract: Supervised learning typically optimizes the expected value risk functional of the loss, but in many cases, we want to optimize for other risk functionals. In full-batch gradient descent, this is done by taking gradients of a risk functional of interest, such as...	[]	Train
27,718	27	Title: Copebot: Underwater soft robot with copepod-like locomotion Abstract: It has been a great challenge to develop robots that are able to perform complex movement patterns with high speed and, simultaneously, high accuracy. Copepods are animals found in freshwater and saltwater habitats that can have extremely fast...	[]	Test
27,719	16	Title: Occlusion-Aware Deep Convolutional Neural Network via Homogeneous Tanh-transforms for Face Parsing Abstract: Face parsing infers a pixel-wise label map for each semantic facial component. Previous methods generally work well for uncovered faces, however overlook the facial occlusion and ignore some contextual ar...	[]	Train
27,720	16	Title: Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote Physiological Measurement via Spatiotemporal Contrast Abstract: Video-based remote physiological measurement utilizes facial videos to measure the blood volume change signal, which is also called remote photoplethysmography (rPPG). Supervised ...	[ 6377, 10253, 22249 ]	Train
27,721	24	Title: On the equivalence of Occam algorithms Abstract: Blumer et al. (1987, 1989) showed that any concept class that is learnable by Occam algorithms is PAC learnable. Board and Pitt (1990) showed a partial converse of this theorem: for concept classes that are closed under exception lists, any class that is PAC learn...	[]	Test
27,722	30	Title: CoSiNES: Contrastive Siamese Network for Entity Standardization Abstract: Entity standardization maps noisy mentions from free-form text to standard entities in a knowledge base. The unique challenge of this task relative to other entity-related tasks is the lack of surrounding context and numerous variations in...	[]	Test
27,723	34	Title: On the expected efficiency of branch and bound for the asymmetric TSP Abstract: Let the costs $C(i,j)$ for an instance of the asymmetric traveling salesperson problem be independent uniform $[0,1]$ random variables. We consider the efficiency of branch and bound algorithms that use the assignment relaxation as a...	[]	Train
27,724	16	Title: Deep Ear Biometrics for Gender Classification Abstract: Human gender classification based on biometric features is a major concern for computer vision due to its vast variety of applications. The human ear is popular among researchers as a soft biometric trait, because it is less affected by age or changing circ...	[]	Test
27,725	16	Title: Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification Abstract: Decisions made by convolutional neural networks(CNN) can be understood and explained by visualizing discriminative regions on images. To this end, Class Activation Map (CAM) based methods were proposed as powerf...	[]	Train
27,726	6	Title: LiteVR: Interpretable and Lightweight Cybersickness Detection using Explainable AI Abstract: Cybersickness is a common ailment associated with virtual reality (VR) user experiences. Several automated methods exist based on machine learning (ML) and deep learning (DL) to detect cyber-sickness. However, most of th...	[]	Validation
27,727	27	Title: Robust Recovery Motion Control for Quadrupedal Robots via Learned Terrain Imagination Abstract: Quadrupedal robots have emerged as a cutting-edge platform for assisting humans, finding applications in tasks related to inspection and exploration in remote areas. Nevertheless, their floating base structure renders...	[ 25824 ]	Train
27,728	16	Title: Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects Abstract: The recently proposed open-world object and open-set detection have achieved a breakthrough in finding never-seen-before objects and distinguishing them from known ones. However, their studies on knowledge transfer from kno...	[ 8243 ]	Train
27,729	16	Title: GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification Abstract: Eye tracking research is important in computer vision because it can help us understand how humans interact with the visual world. Specifically for high-risk applications, such as in medical imaging, eye tracking can help us to ...	[ 37885 ]	Train
27,730	10	Title: Semiconductor Fab Scheduling with Self-Supervised and Reinforcement Learning Abstract: Semiconductor manufacturing is a notoriously complex and costly multi-step process involving a long sequence of operations on expensive and quantity-limited equipment. Recent chip shortages and their impacts have highlighted t...	[]	Test
27,731	16	Title: M$^{2}$SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation Abstract: Accurate medical image segmentation is critical for early medical diagnosis. Most existing methods are based on U-shape structure and use element-wise addition or concatenation to fuse different level features pr...	[ 33098 ]	Test
27,732	31	Title: TagGPT: Large Language Models are Zero-shot Multimodal Taggers Abstract: Tags are pivotal in facilitating the effective distribution of multimedia content in various applications in the contemporary Internet era, such as search engines and recommendation systems. Recently, large language models (LLMs) have demon...	[ 14282, 13700, 9917 ]	Train
27,733	24	Title: Understanding Vector-Valued Neural Networks and Their Relationship with Real and Hypercomplex-Valued Neural Networks Abstract: Despite the many successful applications of deep learning models for multidimensional signal and image processing, most traditional neural networks process data represented by (multidime...	[]	Train
27,734	24	Title: Stratified Adversarial Robustness with Rejection Abstract: Recently, there is an emerging interest in adversarially training a classifier with a rejection option (also known as a selective classifier) for boosting adversarial robustness. While rejection can incur a cost in many applications, existing studies typ...	[]	Train
27,735	16	Title: Image Matching by Bare Homography Abstract: This paper presents Slime, a novel non-deep image matching framework which models the scene as rough local overlapping planes. This intermediate representation sits in-between the local affine approximation of the keypoint patches and the global matching based on both ...	[ 13849 ]	Train
27,736	20	Title: Splitting Vertices in 2-Layer Graph Drawings Abstract: Bipartite graphs model the relationships between two disjoint sets of entities in several applications and are naturally drawn as 2-layer graph drawings. In such drawings, the two sets of entities (vertices) are placed on two parallel lines (layers), and the...	[ 30023 ]	Train
27,737	24	Title: Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning Abstract: Policy optimization methods with function approximation are widely used in multi-agent reinforcement learning. However, it remains elusive how to design such algorithms with statistical guarantees. Leveraging a multi-ag...	[]	Train
27,738	22	Title: Continuing WebAssembly with Effect Handlers Abstract: WebAssembly (Wasm) is a low-level portable code format offering near native performance. It is intended as a compilation target for a wide variety of source languages. However, Wasm provides no direct support for non-local control flow features such as async/...	[]	Train
27,739	24	Title: L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space Abstract: The performance of a lifelong learning (L3) model degrades when it is trained on a series of tasks, as the geometrical formation of the embedding space changes while learning novel concepts sequentially. The majority of existing L3 a...	[]	Train
27,740	5	Title: Fast Shared-Memory Barrier Synchronization for a 1024-Cores RISC-V Many-Core Cluster Abstract: Synchronization is likely the most critical performance killer in shared-memory parallel programs. With the rise of multi-core and many-core processors, the relative impact on performance and energy overhead of synchro...	[ 43635 ]	Validation
27,741	24	Title: Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second Abstract: We present Galactic, a large-scale simulation and reinforcement-learning (RL) framework for robotic mobile manipulation in indoor environments. Specifically, a Fetch robot (equipped with a mobile base, 7DoF a...	[]	Test
27,742	29	Title: SPEChpc 2021 Benchmarks on Ice Lake and Sapphire Rapids Infiniband Clusters: A Performance and Energy Case Study Abstract: In this work, fundamental performance, power, and energy characteristics of the full SPEChpc 2021 benchmark suite are assessed on two different clusters based on Intel Ice Lake and Sapphire ...	[ 5640 ]	Train
27,743	25	Title: Improving Prosody for Cross-Speaker Style Transfer by Semi-Supervised Style Extractor and Hierarchical Modeling in Speech Synthesis Abstract: Cross-speaker style transfer in speech synthesis aims at transferring a style from source speaker to synthesized speech of a target speaker's timbre. In most previous meth...	[ 6046 ]	Validation
27,744	24	Title: Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning Abstract: Utilizing messages from teammates can improve coordination in cooperative Multi-agent Reinforcement Learning (MARL). Previous works typically combine raw messages of teammates w...	[ 29221, 4375 ]	Train
27,745	23	Title: Adopting the Actor Model for Antifragile Serverless Architectures Abstract: Antifragility is a novel concept focusing on letting software systems learn and improve over time based on sustained adverse events such as failures. The actor model has been proposed to deal with concurrent computation and has recently ...	[]	Train
27,746	16	Title: Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction Abstract: Monitoring sustainable development goals requires accurate and timely socioeconomic statistics, while ubiquitous and frequently-updated urban imagery in web like satellite/street view images has emerged as an import...	[ 34722, 31081, 19290 ]	Train
27,747	9	Title: Recursive Error Reduction for Regular Branching Programs Abstract: In a recent work, Chen, Hoza, Lyu, Tal and Wu (FOCS 2023) showed an improved error reduction framework for the derandomization of regular read-once branching programs (ROBPs). Their result is based on a clever modification to the inverse Laplacia...	[ 6228 ]	Test
27,748	16	Title: Multi-spectral Class Center Network for Face Manipulation Detection and Localization Abstract: As Deepfake contents continue to proliferate on the internet, advancing face manipulation forensics has become a pressing issue. To combat this emerging threat, previous methods mainly focus on studying how to distingu...	[ 33986 ]	Train
27,749	16	Title: SynthCal: A Synthetic Benchmarking Pipeline to Compare Camera Calibration Algorithms Abstract: Accurate camera calibration is crucial for various computer vision applications. However, measuring camera parameters in the real world is challenging and arduous, and there needs to be a dataset with ground truth to e...	[]	Test
27,750	24	Title: Deep denoising autoencoder-based non-invasive blood flow detection for arteriovenous fistula Abstract: Clinical guidelines underscore the importance of regularly monitoring and surveilling arteriovenous fistula (AVF) access in hemodialysis patients to promptly detect any dysfunction. Although phono-angiography/s...	[]	Train
27,751	27	Title: Evaluation of Safety Constraints in Autonomous Navigation with Deep Reinforcement Learning Abstract: While reinforcement learning algorithms have had great success in the field of autonomous navigation, they cannot be straightforwardly applied to the real autonomous systems without considering the safety constra...	[]	Validation
27,752	28	Title: Comments on CausalEC: A Causally Consistent Data Storage Algorithm Based on Cross-Object Erasure Coding Abstract: Cadambe and Lyu 2021 presents an erasure coding based algorithm called CausalEC that ensures causal consistency based on cross-object erasure coding. This note shows that the algorithm presented in C...	[]	Test
27,753	16	Title: DynamicDet: A Unified Dynamic Architecture for Object Detection Abstract: Dynamic neural network is an emerging research topic in deep learning. With adaptive inference, dynamic models can achieve remarkable accuracy and computational efficiency. However, it is challenging to design a powerful dynamic detector, ...	[ 44386 ]	Test
27,754	30	Title: Cross-Lingual Knowledge Editing in Large Language Models Abstract: Knowledge editing aims to change language models' performance on several special cases (i.e., editing scope) by infusing the corresponding expected knowledge into them. With the recent advancements in large language models (LLMs), knowledge editi...	[ 40192, 29441, 13700, 33220, 1575, 13549, 22801, 43641, 35545, 1333, 22073 ]	Train
27,755	34	Title: Tight Lower Bounds for Weighted Matroid Problems Abstract: In this paper we derive tight lower bounds resolving the hardness status of several fundamental weighted matroid problems. One notable example is budgeted matroid independent set, for which we show there is no fully polynomial-time approximation scheme (...	[ 29959, 3981, 19629 ]	Validation
27,756	16	Title: SCP: Scene Completion Pre-training for 3D Object Detection Abstract: 3D object detection using LiDAR point clouds is a fundamental task in the fields of computer vision, robotics, and autonomous driving. However, existing 3D detectors heavily rely on annotated datasets, which are both time-consuming and prone to...	[ 37539 ]	Train
27,757	16	Title: Boosting Detection in Crowd Analysis via Underutilized Output Features Abstract: Detection-based methods have been viewed unfavorably in crowd analysis due to their poor performance in dense crowds. However, we argue that the potential of these methods has been underestimated, as they offer crucial information f...	[ 28824, 40965, 15397, 28038 ]	Train
27,758	24	Title: BELLA: Black box model Explanations by Local Linear Approximations Abstract: In recent years, understanding the decision-making process of black-box models has become not only a legal requirement but also an additional way to assess their performance. However, the state of the art post-hoc interpretation approac...	[]	Test
27,759	30	Title: How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench Abstract: We investigate the predictability of large language model (LLM) capabilities: given records of past experiments using different model families, numbers of parameters, tasks, and numbers of in-context examples, can we accur...	[ 13700 ]	Train
27,760	36	Title: Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games Abstract: We study the sample complexity of identifying an approximate equilibrium for two-player zero-sum $n\times 2$ matrix games. That is, in a sequence of repeated game plays, how many rounds must the two players play before reaching an ap...	[]	Train
27,761	24	Title: ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time Abstract: Dynamic control flow is an important technique often used to design expressive and efficient deep learning computations for applications such as text parsing, machine translation, exiting early out of deep models and so on. Howe...	[]	Train
27,762	13	Title: An Efficient and Accurate Memristive Memory for Array-based Spiking Neural Networks Abstract: Memristors provide a tempting solution for weighted synapse connections in neuromorphic computing due to their size and non-volatile nature. However, memristors are unreliable in the commonly used voltage-pulse-based pr...	[ 33525 ]	Train
27,763	16	Title: Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey Abstract: Point cloud data has been extensively studied due to its compact form and flexibility in representing complex 3D structures. The ability of point cloud data to accurately capture and represent intricate 3D geometry makes it an ideal ch...	[ 42599, 11697, 26422, 24600, 22585 ]	Test
27,764	4	Title: Mitigating Intersection Attacks in Anonymous Microblogging Abstract: Anonymous microblogging systems are known to be vulnerable to intersection attacks due to network churn. An adversary that monitors all communications can leverage the churn to learn who is publishing what with increasing confidence over time. ...	[]	Train
27,765	27	Title: Challenges in Designing Teacher Robots with Motivation Based Gestures Abstract: Humanoid robots are increasingly being integrated into learning contexts to assist teaching and learning. However, challenges remain how to design and incorporate such robots in an educational context. As an important part of teachin...	[]	Validation
27,766	24	Title: HAT-CL: A Hard-Attention-to-the-Task PyTorch Library for Continual Learning Abstract: Catastrophic forgetting, the phenomenon in which a neural network loses previously obtained knowledge during the learning of new tasks, poses a significant challenge in continual learning. The Hard-Attention-to-the-Task (HAT) m...	[ 17724 ]	Train
27,767	4	Title: Model Checking Access Control Policies: A Case Study using Google Cloud IAM Abstract: Authoring access control policies is challenging and prone to misconfigurations. Access control policies must be conflict-free. Hence, administrators should identify discrepancies between policy specifications and their intende...	[]	Train
27,768	16	Title: Freezing of Gait Prediction From Accelerometer Data Using a Simple 1D-Convolutional Neural Network - 8th Place Solution for Kaggle's Parkinson's Freezing of Gait Prediction Competition Abstract: Freezing of Gait (FOG) is a common motor symptom in patients with Parkinson's disease (PD). During episodes of FOG, pa...	[]	Train
27,769	36	Title: Fisher Market Model based Resource Allocation for 5G Network Slicing Abstract: Network slicing (NS) is a key technology in 5G networks that enables the customization and efficient sharing of network resources to support the diverse requirements of nextgeneration services. This paper proposes a resource allocatio...	[]	Train
27,770	9	Title: The Planted k-SUM Problem: Algorithms, Lower Bounds, Hardness Amplification, and Cryptography Abstract: In the average-case $k$-SUM problem, given $r$ integers chosen uniformly at random from $\{0,\ldots,M-1\}$, the objective is to find a set of $k$ numbers that sum to $0$ modulo $M$ (this set is called a soluti...	[]	Train
27,771	28	Title: Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation Abstract: Connected and autonomous vehicles (CAVs) can reduce human errors in traffic accidents, increase road efficiency, and execute various tasks ranging from delivery to smart city surveillance. Reaping ...	[]	Train
27,772	5	Title: Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph Abstract: Real-world graphs are constantly evolving, which demands updates of the previous analysis results to accommodate graph changes. By using the memoized previous computation state, incremental graph computation c...	[]	Train
27,773	24	Title: OLR-WA Online Regression with Weighted Average Abstract: Machine Learning requires a large amount of training data in order to build accurate models. Sometimes the data arrives over time, requiring significant storage space and recalculating the model to account for the new data. On-line learning addresses these...	[]	Validation
27,774	8	Title: Revolutionizing Future Connectivity: A Contemporary Survey on AI-empowered Satellite-based Non-Terrestrial Networks in 6G Abstract: Non-Terrestrial Networks (NTN) are expected to be a critical component of 6th Generation (6G) networks, providing ubiquitous, continuous, and scalable services. Satellites emerge as...	[ 18222, 29342, 262 ]	Test
27,775	30	Title: End-to-End n-ary Relation Extraction for Combination Drug Therapies Abstract: Combination drug therapies are treatment regimens that involve two or more drugs, administered more commonly for patients with cancer, HIV, malaria, or tuberculosis. Currently there are over 350K articles in PubMed that use the"combina...	[]	Validation
27,776	9	Title: This Game Is Not Going To Analyze Itself Abstract: We analyze the puzzle video game This Game Is Not Going To Load Itself, where the player routes data packets of three different colors from given sources to given sinks of the correct color. Given the sources, sinks, and some previously placed arrow tiles, we pr...	[]	Test
27,777	10	Title: Generating and Explaining Corner Cases Using Learnt Probabilistic Lane Graphs Abstract: Validating the safety of Autonomous Vehicles (AVs) operating in open-ended, dynamic environments is challenging as vehicles will eventually encounter safety-critical situations for which there is not representative training d...	[]	Test

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