node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
30,978 | 24 | Title: Weakly Supervised Label Learning Flows
Abstract: Supervised learning usually requires a large amount of labelled data. However, attaining ground-truth labels is costly for many tasks. Alternatively, weakly supervised methods learn with cheap weak signals that only approximately label some data. Many existing wea... | [] | Validation |
30,979 | 33 | Title: Determining Smallest Path Size of Multiplication Transducers Without a Restricted Digit Set
Abstract: Directed multiplication transducers are a tool for performing non-decimal base multiplication without an additional conversion to base 10. This allows for faster computation and provides easier visualization dep... | [] | Train |
30,980 | 22 | Title: Proof-Producing Symbolic Execution for Binary Code Verification
Abstract: We propose a proof-producing symbolic execution for verification of machine-level programs. The analysis is based on a set of core inference rules that are designed to give control over the tradeoff between preservation of precision and th... | [
32795
] | Train |
30,981 | 28 | Title: Lightweight Channel Codes for ISI Mitigation in Molecular Communication Between Bionanosensors
Abstract: Channel memory and intersymbol interference (ISI) are harmful factors in diffusion-based molecular communication (DBMC) between bionanosensors. To tackle these problems, this article proposes a lightweight IS... | [] | Train |
30,982 | 34 | Title: Continuous Non-monotone DR-submodular Maximization with Down-closed Convex Constraint
Abstract: We investigate the continuous non-monotone DR-submodular maximization problem subject to a down-closed convex solvable constraint. Our first contribution is to construct an example to demonstrate that (first-order) st... | [] | Train |
30,983 | 30 | Title: Analyzing Syntactic Generalization Capacity of Pre-trained Language Models on Japanese Honorific Conversion
Abstract: Using Japanese honorifics is challenging because it requires not only knowledge of the grammatical rules but also contextual information, such as social relationships. It remains unclear whether ... | [] | Train |
30,984 | 2 | Title: Canonical decompositions in monadically stable and bounded shrubdepth graph classes
Abstract: We use model-theoretic tools originating from stability theory to derive a result we call the Finitary Substitute Lemma, which intuitively says the following. Suppose we work in a stable graph class C, and using a first... | [
29304,
44242,
763
] | Test |
30,985 | 16 | Title: Dual-View Selective Instance Segmentation Network for Unstained Live Adherent Cells in Differential Interference Contrast Images
Abstract: Despite recent advances in data-independent and deep-learning algorithms, unstained live adherent cell instance segmentation remains a long-standing challenge in cell image p... | [] | Train |
30,986 | 27 | Title: Deep Imitation Learning for Humanoid Loco-manipulation through Human Teleoperation
Abstract: We tackle the problem of developing humanoid loco-manipulation skills with deep imitation learning. The difficulty of collecting task demonstrations and training policies for humanoids with a high degree of freedom prese... | [
39038,
12567
] | Validation |
30,987 | 4 | Title: TREBUCHET: Fully Homomorphic Encryption Accelerator for Deep Computation
Abstract: Secure computation is of critical importance to not only the DoD, but across financial institutions, healthcare, and anywhere personally identifiable information (PII) is accessed. Traditional security techniques require data to b... | [] | Train |
30,988 | 30 | Title: Aligning Speakers: Evaluating and Visualizing Text-based Diarization Using Efficient Multiple Sequence Alignment (Extended Version)
Abstract: This paper presents a novel evaluation approach to text-based speaker diarization (SD), tackling the limitations of traditional metrics that do not account for any context... | [] | Train |
30,989 | 16 | Title: SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model
Abstract: The goal of continual learning is to improve the performance of recognition models in learning sequentially arrived data. Although most existing works are established on the premise of learning from scratch, grow... | [
24193,
13831,
10783
] | Train |
30,990 | 34 | Title: Grouped Domination Parameterized by Vertex Cover, Twin Cover, and Beyond
Abstract: A dominating set $S$ of graph $G$ is called an $r$-grouped dominating set if $S$ can be partitioned into $S_1,S_2,\ldots,S_k$ such that the size of each unit $S_i$ is $r$ and the subgraph of $G$ induced by $S_i$ is connected. The ... | [
4605
] | Train |
30,991 | 16 | Title: DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
Abstract: Recent Diffusion Transformers (e.g., DiT) have demonstrated their powerful effectiveness in generating high-quality 2D images. However, it is still being determined whether the Transformer architecture performs equally well in 3D sh... | [
25816,
33638,
10332,
41502
] | Train |
30,992 | 25 | Title: AffectEcho: Speaker Independent and Language-Agnostic Emotion and Affect Transfer for Speech Synthesis
Abstract: Affect is an emotional characteristic encompassing valence, arousal, and intensity, and is a crucial attribute for enabling authentic conversations. While existing text-to-speech (TTS) and speech-to-s... | [
40905,
4946
] | Test |
30,993 | 16 | Title: MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization
Abstract: Arbitrary bit-width network quantization has received significant attention due to its high adaptability to various bit-width requirements during runtime. However, in this paper, we investigate existing method... | [] | Validation |
30,994 | 16 | Title: Multimodal Data Augmentation for Image Captioning using Diffusion Models
Abstract: Image captioning, an important vision-language task, often requires a tremendous number of finely labeled image-caption pairs for learning the underlying alignment between images and texts. In this paper, we proposed a multimodal ... | [
4701
] | Train |
30,995 | 16 | Title: OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields
Abstract: The emergence of Neural Radiance Fields (NeRF) for novel view synthesis has led to increased interest in 3D scene editing. One important task in editing is removing objects from a scene while ensuring v... | [
541,
7076,
18380,
4143,
42937,
34074,
27517
] | Validation |
30,996 | 24 | Title: FedPH: Privacy-enhanced Heterogeneous Federated Learning
Abstract: Federated Learning is a distributed machine-learning environment that allows clients to learn collaboratively without sharing private data. This is accomplished by exchanging parameters. However, the differences in data distributions and computin... | [] | Train |
30,997 | 16 | Title: OCBEV: Object-Centric BEV Transformer for Multi-View 3D Object Detection
Abstract: Multi-view 3D object detection is becoming popular in autonomous driving due to its high effectiveness and low cost. Most of the current state-of-the-art detectors follow the query-based bird's-eye-view (BEV) paradigm, which benef... | [] | Train |
30,998 | 16 | Title: GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training
Abstract: This paper tries to address a fundamental question in point cloud self-supervised learning: what is a good signal we should leverage to learn features from point clouds without annotations? To answer that, we introd... | [
45439
] | Test |
30,999 | 7 | Title: Application of the partial Dirichlet-Neumann contact algorithm to simulate low-velocity impact events on composite structures
Abstract: nan | [] | Validation |
31,000 | 27 | Title: One-Shot Strategically Deconflicted Route and Operational Volume Generation for Urban Air Mobility Operations
Abstract: In the UAM space, strategic deconfliction provides an all-essential layer to airspace automation by providing safe, pre-emptive deconfliction or assignment of airspace resources to airspace use... | [] | Test |
31,001 | 30 | Title: Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation
Abstract: Towards human-like dialogue systems, current emotional dialogue approaches jointly model emotion and semantics with a unified neural network. This strategy tends to generate safe responses due to the mutual restr... | [
5786
] | Train |
31,002 | 16 | Title: TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes
Abstract: Video data and algorithms have been driving advances in multi-object tracking (MOT). While existing MOT datasets focus on occlusion and appearance similarity, complex motion patterns are widespread... | [] | Test |
31,003 | 16 | Title: TSSR: A Truncated and Signed Square Root Activation Function for Neural Networks
Abstract: Activation functions are essential components of neural networks. In this paper, we introduce a new activation function called the Truncated and Signed Square Root (TSSR) function. This function is distinctive because it i... | [
40192,
32713,
9741,
4111,
27282,
17429
] | Train |
31,004 | 28 | Title: Universal Performance Bounds for Joint Self-Interference Cancellation and Data Detection in Full-Duplex Communications
Abstract: This paper studies the joint digital self-interference (SI) cancellation and data detection in an orthogonal-frequency-division-multiplexing (OFDM) full-duplex (FD) system, considering... | [] | Validation |
31,005 | 27 | Title: iCOIL: Scenario Aware Autonomous Parking Via Integrated Constrained Optimization and Imitation Learning
Abstract: Autonomous parking (AP) is an emering technique to navigate an intelligent vehicle to a parking space without any human intervention. Existing AP methods based on mathematical optimization or machine... | [] | Train |
31,006 | 16 | Title: Augmenting Zero-Shot Detection Training with Image Labels
Abstract: Zero-shot detection (ZSD), i.e., detection on classes not seen during training, is essential for real world detection use-cases, but remains a difficult task. Recent research attempts ZSD with detection models that output embeddings instead of d... | [] | Test |
31,007 | 24 | Title: RRCNN: A novel signal decomposition approach based on recurrent residue convolutional neural network
Abstract: The decomposition of non-stationary signals is an important and challenging task in the field of signal time-frequency analysis. In the recent two decades, many signal decomposition methods led by the e... | [
31120
] | Train |
31,008 | 24 | Title: On Robustness in Multimodal Learning
Abstract: Multimodal learning is defined as learning over multiple heterogeneous input modalities such as video, audio, and text. In this work, we are concerned with understanding how models behave as the type of modalities differ between training and deployment, a situation ... | [] | Train |
31,009 | 3 | Title: Inter-Rater Reliability is Individual Fairness
Abstract: In this note, a connection between inter-rater reliability and individual fairness is established. It is shown that inter-rater reliability is a special case of individual fairness, a notion of fairness requiring that similar people are treated similarly. | [] | Train |
31,010 | 16 | Title: Introducing Competition to Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup
Abstract: Deep neural networks are widely known to be susceptible to adversarial examples, which can cause incorrect predictions through subtle input modifications. These adversarial examples tend to... | [] | Test |
31,011 | 30 | Title: Extracting Multi-valued Relations from Language Models
Abstract: The widespread usage of latent language representations via pre-trained language models (LMs) suggests that they are a promising source of structured knowledge. However, existing methods focus only on a single object per subject-relation pair, even... | [] | Train |
31,012 | 30 | Title: CMB: A Comprehensive Medical Benchmark in Chinese
Abstract: Large Language Models (LLMs) provide a possibility to make a great breakthrough in medicine. The establishment of a standardized medical benchmark becomes a fundamental cornerstone to measure progression. However, medical environments in different regio... | [
7648,
13700,
13189,
1575,
7695,
8530,
31218,
22772,
33815,
2102,
19671,
29430,
9403
] | Train |
31,013 | 24 | Title: Reinforcement Federated Learning Method Based on Adaptive OPTICS Clustering
Abstract: Federated learning is a distributed machine learning technology, which realizes the balance between data privacy protection and data sharing computing. To protect data privacy, feder-ated learning learns shared models by locall... | [] | Train |
31,014 | 16 | Title: Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings
Abstract: Distance-based classification is frequently used in transductive few-shot learning (FSL). However, due to the high-dimensionality of image representations, FSL classifiers are prone to su... | [] | Validation |
31,015 | 16 | Title: Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models
Abstract: Video Question Answering (VideoQA) is a challenging task that entails complex multi-modal reasoning. In contrast to multiple-choice VideoQA which aims to predict the answer g... | [] | Train |
31,016 | 13 | Title: Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration
Abstract: Quality-Diversity (QD) algorithms have recently gained traction as optimisation methods due to their effectiveness at escaping local optima and capability of generating wide-ranging a... | [] | Train |
31,017 | 30 | Title: Overview of the ICASSP 2023 General Meeting Understanding and Generation Challenge (MUG)
Abstract: ICASSP2023 General Meeting Understanding and Generation Challenge (MUG) focuses on prompting a wide range of spoken language processing (SLP) research on meeting transcripts, as SLP applications are critical to imp... | [
30301,
34990
] | Validation |
31,018 | 4 | Title: Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binarie
Abstract: Binary reverse engineering is used to understand and analyse programs for which the source code is unavailable. Decompilers can help, transforming opaque binaries into a more readable source code-like representation. Stil... | [
26272,
14659,
17191,
35730,
18519
] | Train |
31,019 | 10 | Title: Habits of Mind: Reusing Action Sequences for Efficient Planning
Abstract: When we exercise sequences of actions, their execution becomes more fluent and precise. Here, we consider the possibility that exercised action sequences can also be used to make planning faster and more accurate by focusing expansion of t... | [] | Train |
31,020 | 24 | Title: Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer
Abstract: The data-hungry problem, characterized by insufficiency and low-quality of data, poses obstacles for deep learning models. Transfer learning has been a feasible way to transfer knowledge from high-quality external data of source do... | [
1281,
39650,
31299,
30632,
23375,
32047,
16915,
23355,
32285,
1758,
7519
] | Train |
31,021 | 16 | Title: Angle Range and Identity Similarity Enhanced Gaze and Head Redirection based on Synthetic data
Abstract: In this paper, we propose a method for improving the angular accuracy and photo-reality of gaze and head redirection in full-face images. The problem with current models is that they cannot handle redirection... | [] | Validation |
31,022 | 24 | Title: Conformal Off-Policy Evaluation in Markov Decision Processes
Abstract: Reinforcement Learning aims at identifying and evaluating efficient control policies from data. In many real-world applications, the learner is not allowed to experiment and cannot gather data in an online manner (this is the case when experi... | [
22448
] | Validation |
31,023 | 24 | Title: Predicting Hurricane Evacuation Decisions with Interpretable Machine Learning Models
Abstract: The aggravating effects of climate change and the growing population in hurricane-prone areas escalate the challenges in large-scale hurricane evacuations. While hurricane preparedness and response strategies vastly re... | [] | Train |
31,024 | 25 | Title: Undecidability Results and Their Relevance in Modern Music Making
Abstract: This paper delves into the intersection of computational theory and music, examining the concept of undecidability and its significant, yet overlooked, implications within the realm of modern music composition and production. It posits t... | [] | Train |
31,025 | 24 | Title: The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning
Abstract: Discount regularization, using a shorter planning horizon when calculating the optimal policy, is a popular choice to restrict planning to a less complex set of policies when... | [] | Validation |
31,026 | 24 | Title: Memory capacity of two layer neural networks with smooth activations
Abstract: Determining the memory capacity of two layer neural networks with $m$ hidden neurons and input dimension $d$ (i.e., $md+m$ total trainable parameters), which refers to the largest size of general data the network can memorize, is a fu... | [] | Validation |
31,027 | 4 | Title: Fault Injection on Embedded Neural Networks: Impact of a Single Instruction Skip
Abstract: With the large-scale integration and use of neural network models, especially in critical embedded systems, their security assessment to guarantee their reliability is becoming an urgent need. More particularly, models dep... | [] | Test |
31,028 | 16 | Title: Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Prediction
Abstract: Cooperatively utilizing both ego-vehicle and infrastructure sensor data can significantly enhance autonomous driving perception abilities. However, temporal asynchrony and limited wireless communication in traffic enviro... | [
35581,
4462,
44574
] | Train |
31,029 | 16 | Title: ECO: Ensembling Context Optimization for Vision-Language Models
Abstract: Image recognition has recently witnessed a paradigm shift, where vision-language models are now used to perform few-shot classification based on textual prompts. Among these, the CLIP model has shown remarkable capabilities for zero-shot t... | [
9198
] | Validation |
31,030 | 24 | Title: Bounded (O(1)) Regret Recommendation Learning via Synthetic Controls Oracle
Abstract: In online exploration systems where users with fixed preferences repeatedly arrive, it has recently been shown that O(1), i.e., bounded regret, can be achieved when the system is modeled as a linear contextual bandit. This resu... | [
18679
] | Test |
31,031 | 24 | Title: TAP: The Attention Patch for Cross-Modal Knowledge Transfer from Unlabeled Data
Abstract: This work investigates the intersection of cross modal learning and semi supervised learning, where we aim to improve the supervised learning performance of the primary modality by borrowing missing information from an unla... | [] | Train |
31,032 | 27 | Title: Analysis of Interior Rubble Void Spaces at Champlain Towers South Collapse
Abstract: The 2021 Champlain Towers South Condominiums collapse in Surfside, Florida, resulted 98 deaths. Nine people are thought to have survived the initial collapse, and might have been rescued if rescue workers could have located them... | [] | Train |
31,033 | 16 | Title: An Impartial Transformer for Story Visualization
Abstract: Story Visualization is an advanced task of computed vision that targets sequential image synthesis, where the generated samples need to be realistic, faithful to their conditioning and sequentially consistent. Our work proposes a novel architectural and ... | [
31738,
21461
] | Train |
31,034 | 16 | Title: Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling
Abstract: Existing research on multimodal relation extraction (MRE) faces two co-existing challenges, internal-information over-utilization and external-information under-exploitation. To ... | [
16130,
33932,
39919,
5107,
35220,
34358,
8895
] | Train |
31,035 | 6 | Title: DiLogics: Creating Web Automation Programs With Diverse Logics
Abstract: Knowledge workers frequently encounter repetitive web data entry tasks, like updating records or placing orders. Web automation increases productivity, but translating tasks to web actions accurately and extending to new specifications is c... | [] | Train |
31,036 | 24 | Title: Connecting Multi-modal Contrastive Representations
Abstract: Multi-modal Contrastive Representation (MCR) learning aims to encode different modalities into a semantically aligned shared space. This paradigm shows remarkable generalization ability on numerous downstream tasks across various modalities. However, t... | [
6337
] | Validation |
31,037 | 24 | Title: PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
Abstract: While traditional machine learning can effectively tackle a wide range of problems, it primarily operates within a closed-world setting, which presents limitations when dealing with streaming data. As a solution, incremental learning emerges t... | [
45354,
24047,
7175
] | Train |
31,038 | 27 | Title: Foldsformer: Learning Sequential Multi-Step Cloth Manipulation With Space-Time Attention
Abstract: Sequential multi-step cloth manipulation is a challenging problem in robotic manipulation, requiring a robot to perceive the cloth state and plan a sequence of chained actions leading to the desired state. Most pre... | [
5560
] | Train |
31,039 | 30 | Title: Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing
Abstract: Emotion recognition in conversation, which aims to predict the emotion for all utterances, has attracted considerable research attention in recent years. It is a challenging task since the recognition o... | [] | Train |
31,040 | 34 | Title: Scalable Auction Algorithms for Bipartite Maximum Matching Problems
Abstract: In this paper, we give new auction algorithms for maximum weighted bipartite matching (MWM) and maximum cardinality bipartite $b$-matching (MCbM). Our algorithms run in $O\left(\log n/\varepsilon^8\right)$ and $O\left(\log n/\varepsilo... | [
34863
] | Train |
31,041 | 30 | Title: Comparison of Pre-trained Language Models for Turkish Address Parsing
Abstract: Transformer based pre-trained models such as BERT and its variants, which are trained on large corpora, have demonstrated tremendous success for natural language processing (NLP) tasks. Most of academic works are based on the English... | [] | Test |
31,042 | 6 | Title: The Usability of Pragmatic Communication in Regular Expression Synthesis
Abstract: Programming-by-example (PBE) systems aim to alleviate the burden of programming. However, user-specified examples are often ambiguous, leaving multiple programs to satisfy the specification. Consequently, in most prior work, users... | [
25000,
35279
] | Train |
31,043 | 37 | Title: A Fast Insertion Operator for Ridesharing over Time-Dependent Road Networks
Abstract: Ridesharing has become a promising travel mode recently due to the economic and social benefits. As an essential operator,"insertion operator"has been extensively studied over static road networks. When a new request appears, t... | [] | Validation |
31,044 | 25 | Title: SememeASR: Boosting Performance of End-to-End Speech Recognition against Domain and Long-Tailed Data Shift with Sememe Semantic Knowledge
Abstract: Recently, excellent progress has been made in speech recognition. However, pure data-driven approaches have struggled to solve the problem in domain-mismatch and lon... | [] | Test |
31,045 | 24 | Title: GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text
Abstract: Large language models have made significant strides in natural language processing, paving the way for innovative applications including molecular representation and generation. However, most existing single-m... | [
30243,
13700,
37987,
10332,
45455,
41104,
27282,
3609,
13564,
23805
] | Train |
31,046 | 16 | Title: Evaluation of a Canonical Image Representation for Sidescan Sonar
Abstract: Acoustic sensors play an important role in autonomous underwater vehicles (AUVs). Sidescan sonar (SSS) detects a wide range and provides photo-realistic images in high resolution. However, SSS projects the 3D seafloor to 2D images, which... | [
8334
] | Test |
31,047 | 22 | Title: Typed Design Patterns for the Functional Era
Abstract: This paper explores how design patterns could be revisited in the era of mainstream functional programming languages. I discuss the kinds of knowledge that ought to be represented as functional design patterns: architectural concepts that are relatively self... | [] | Train |
31,048 | 28 | Title: Integrated Sensing and Communication in Coordinated Cellular Networks
Abstract: Integrated sensing and communication (ISAC) is a promising technique to provide sensing services in future wireless networks. Numerous existing works have adopted a monostatic radar architecture to realize ISAC, i.e., employing the s... | [
25604
] | Train |
31,049 | 16 | Title: Multi-Content Interaction Network for Few-Shot Segmentation
Abstract: Few-Shot Segmentation (FSS) is challenging for limited support images and large intra-class appearance discrepancies. Most existing approaches focus on extracting high-level representations of the same layers for support-query correlations, ne... | [] | Test |
31,050 | 31 | Title: Unbiased Pairwise Learning from Implicit Feedback for Recommender Systems without Biased Variance Control
Abstract: Generally speaking, the model training for recommender systems can be based on two types of data, namely explicit feedback and implicit feedback. Moreover, because of its general availability, we s... | [
35503
] | Train |
31,051 | 27 | Title: SwarmGear: Heterogeneous Swarm of Drones with Reconfigurable Leader Drone and Virtual Impedance Links for Multi-Robot Inspection
Abstract: The continuous monitoring by drone swarms remains a challenging problem due to the lack of power supply and the inability of drones to land on uneven surfaces. Heterogeneous ... | [
16312
] | Train |
31,052 | 30 | Title: Selective Data Augmentation for Robust Speech Translation
Abstract: Speech translation (ST) systems translate speech in one language to text in another language. End-to-end ST systems (e2e-ST) have gained popularity over cascade systems because of their enhanced performance due to reduced latency and computation... | [] | Validation |
31,053 | 27 | Title: AOSoar: Autonomous Orographic Soaring of a Micro Air Vehicle
Abstract: Utilizing wind hovering techniques of soaring birds can save energy expenditure and improve the flight endurance of micro air vehicles (MAVs). Here, we present a novel method for fully autonomous orographic soaring without a priori knowledge ... | [] | Train |
31,054 | 16 | Title: A Novel Cross-Perturbation for Single Domain Generalization
Abstract: Single domain generalization aims to enhance the ability of the model to generalize to unknown domains when trained on a single source domain. However, the limited diversity in the training data hampers the learning of domain-invariant feature... | [
584,
16867,
39621
] | Train |
31,055 | 9 | Title: A Near-Cubic Lower Bound for 3-Query Locally Decodable Codes from Semirandom CSP Refutation
Abstract: A code C ∶ {0,1}k → {0,1}n is a q-locally decodable code (q-LDC) if one can recover any chosen bit bi of the message b ∈ {0,1}k with good confidence by randomly querying the encoding x = C(b) on at most q coordi... | [] | Test |
31,056 | 31 | Title: Probe: Learning Users' Personalized Projection Bias in Intertemporal Choices
Abstract: Intertemporal choices involve making decisions that require weighing the costs in the present against the benefits in the future. One specific type of intertemporal choice is the decision between purchasing an individual item ... | [] | Train |
31,057 | 3 | Title: Vulnerable Source Code Detection using SonarCloud Code Analysis
Abstract: In Software Development Life Cycle (SDLC), security vulnerabilities are one of the points introduced during the construction stage. Failure to detect software defects earlier after releasing the product to the market causes higher repair c... | [] | Train |
31,058 | 24 | Title: Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks
Abstract: The delayed feedback problem is one of the most pressing challenges in predicting the conversion rate since users' conversions are always delayed in online commercial systems. Although new data are benefi... | [] | Train |
31,059 | 23 | Title: DevServOps: DevOps For Product-Oriented Product-Service Systems
Abstract: For companies developing web-based applications, the Dev and the Ops refer to different groups with either operational or development focus. Therefore, DevOps help these companies streamline software development and operations activities b... | [] | Train |
31,060 | 24 | Title: The instabilities of large learning rate training: a loss landscape view
Abstract: Modern neural networks are undeniably successful. Numerous works study how the curvature of loss landscapes can affect the quality of solutions. In this work we study the loss landscape by considering the Hessian matrix during net... | [] | Validation |
31,061 | 16 | Title: Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification
Abstract: Semi-supervised domain adaptation is a technique to build a classifier for a target domain by modifying a classifier in another (source) domain using many unlabeled samples and a small number of labeled samples... | [] | Test |
31,062 | 16 | Title: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process
Abstract: We develop a generalized 3D shape generation prior model, tailored for multiple 3D tasks including unconditional shape generation, point cloud completion, and cross-modality shape generation, etc. On one hand, to precisely capture l... | [
21324,
28478,
34199
] | Validation |
31,063 | 16 | Title: EC-SfM: Efficient Covisibility-based Structure-from-Motion for Both Sequential and Unordered Images
Abstract: Structure-from-Motion is a technology used to obtain scene structure through image collection, which is a fundamental problem in computer vision. For unordered Internet images, SfM is very slow due to th... | [] | Test |
31,064 | 16 | Title: π-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation
Abstract: Foundation models have achieved great advances in multi-task learning with a unified interface of unimodal and multimodal tasks. However, the potential of such multi-task learners has not been exploited during tra... | [
508,
15983
] | Train |
31,065 | 10 | Title: Exploiting Configurations of MaxSAT Solvers
Abstract: In this paper, we describe how we can effectively exploit alternative parameter configurations to a MaxSAT solver. We describe how these configurations can be computed in the context of MaxSAT. In particular, we experimentally show how to easily combine confi... | [] | Validation |
31,066 | 10 | Title: Extend Wave Function Collapse to Large-Scale Content Generation
Abstract: Wave Function Collapse (WFC) is a widely used tile-based algorithm in procedural content generation, including textures, objects, and scenes. However, the current WFC algorithm and related research lack the ability to generate commercializ... | [] | Train |
31,067 | 30 | Title: Detecting Check-Worthy Claims in Political Debates, Speeches, and Interviews Using Audio Data
Abstract: A large portion of society united around the same vision and ideas carries enormous energy. That is precisely what political figures would like to accumulate for their cause. With this goal in mind, they can s... | [] | Train |
31,068 | 5 | Title: Boosting the Performance of Degraded Reads in RS-coded Distributed Storage Systems
Abstract: Reed-Solomon (RS) codes have been increasingly adopted by distributed storage systems in place of replication,because they provide the same level of availability with much lower storage overhead. However, a key drawback ... | [] | Train |
31,069 | 30 | Title: ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation
Abstract: Paraphrase generation is a long-standing task in natural language processing (NLP). Supervised paraphrase generation models, which rely on human-annotated paraphrase pairs, are cost-inefficient and hard to scale up.... | [] | Test |
31,070 | 6 | Title: A Study on Hyperparameters Configurations for an Efficient Human Activity Recognition System
Abstract: Human Activity Recognition (HAR) has been a popular research field due to the widespread of devices with sensors and computational power (e.g., smartphones and smartwatches). Applications for HAR systems have b... | [] | Train |
31,071 | 28 | Title: One-Shot Achievable Secrecy Rate Regions for Quantum Interference Wiretap Channel
Abstract: —In this paper, we want to derive achievable secrecy rate regions for quantum interference channel with classical inputs under one-shot setting. The main idea to this end is to use the combination of superposition and rat... | [
6294
] | Test |
31,072 | 24 | Title: Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees
Abstract: Projection-free online learning has drawn increasing interest due to its efficiency in solving high-dimensional problems with complicated constraints. However, most existing projection-free online methods focus o... | [
5262
] | Train |
31,073 | 16 | Title: Resolution-Invariant Image Classification based on Fourier Neural Operators
Abstract: In this paper we investigate the use of Fourier Neural Operators (FNOs) for image classification in comparison to standard Convolutional Neural Networks (CNNs). Neural operators are a discretization-invariant generalization of ... | [] | Test |
31,074 | 24 | Title: Non-Parametric Representation Learning with Kernels
Abstract: Unsupervised and self-supervised representation learning has become popular in recent years for learning useful features from unlabelled data. Representation learning has been mostly developed in the neural network literature, and other models for rep... | [
44266
] | Train |
31,075 | 24 | Title: Peeking inside Sparse Neural Networks using Multi-Partite Graph Representations
Abstract: Modern Deep Neural Networks (DNNs) have achieved very high performance at the expense of computational resources. To decrease the computational burden, several techniques have proposed to extract, from a given DNN, efficien... | [] | Test |
31,076 | 34 | Title: Fast Coloring Despite Congested Relays
Abstract: We provide a $O(\log^6 \log n)$-round randomized algorithm for distance-2 coloring in CONGEST with $\Delta^2+1$ colors. For $\Delta\gg\operatorname{poly}\log n$, this improves exponentially on the $O(\log\Delta+\operatorname{poly}\log\log n)$ algorithm of [Halld\'... | [
44066,
13379,
10888,
19081,
5305
] | Validation |
31,077 | 27 | Title: TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction
Abstract: Data-driven simulation has become a favorable way to train and test autonomous driving algorithms. The idea of replacing the actual environment with a learned simulator has also been explored in model-based reinfo... | [
37832,
11725,
9743
] | Train |
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