node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
35,178 | 16 | Title: Unsupervised Evaluation of Out-of-distribution Detection: A Data-centric Perspective
Abstract: Out-of-distribution (OOD) detection methods assume that they have test ground truths, i.e., whether individual test samples are in-distribution (IND) or OOD. However, in the real world, we do not always have such groun... | [
4536,
5189
] | Train |
35,179 | 16 | Title: Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation
Abstract: Unsupervised Domain Adaptation (UDA) of semantic segmentation transfers labeled source knowledge to an un-labeled target domain by relying on accessing both the source and target data. H... | [
45832,
37795
] | Train |
35,180 | 16 | Title: Class-Incremental Learning of Plant and Disease Detection: Growing Branches with Knowledge Distillation
Abstract: This paper investigates the problem of class-incremental object detection for agricultural applications where a model needs to learn new plant species and diseases incrementally without forgetting th... | [
24825
] | Train |
35,181 | 17 | Title: Interpolation of Point Distributions for Digital Stippling
Abstract: We present a new way to merge any two point distribution approaches using distance fields. Our new process allows us to produce digital stippling that fills areas with stipple dots without visual artifacts as well as includes clear linear featu... | [] | Test |
35,182 | 25 | Title: Spiking-LEAF: A Learnable Auditory front-end for Spiking Neural Networks
Abstract: Brain-inspired spiking neural networks (SNNs) have demonstrated great potential for temporal signal processing. However, their performance in speech processing remains limited due to the lack of an effective auditory front-end. To... | [
38174
] | Train |
35,183 | 24 | Title: Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series
Abstract: Irregularly sampled multivariate time series are ubiquitous in various fields, particularly in healthcare, and exhibit two key characteristics: intra-series irregularity and inter-series discrepancy. Intra-series irregularit... | [
41383
] | Train |
35,184 | 10 | Title: "Guinea Pig Trials" Utilizing GPT: A Novel Smart Agent-Based Modeling Approach for Studying Firm Competition and Collusion
Abstract: Firm competition and collusion involve complex dynamics, particularly when considering communication among firms. Such issues can be modeled as problems of complex systems, traditi... | [
16556,
13510
] | Validation |
35,185 | 16 | Title: An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability
Abstract: While the transferability property of adversarial examples allows the adversary to perform black-box attacks (i.e., the attacker has no knowledge about the target model), the transfer-based adversarial attacks have g... | [] | Train |
35,186 | 24 | Title: Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach
Abstract: With the rising demand for wireless services and increased awareness of the need for data protection, existing network traffic analysis and management architectures are facing unprecedented ... | [
22768,
38184
] | Validation |
35,187 | 27 | Title: Reinforcement Learning and Distributed Model Predictive Control for Conflict Resolution in Highly Constrained Spaces
Abstract: This work presents a distributed algorithm for resolving cooperative multi-vehicle conflicts in highly constrained spaces. By formulating the conflict resolution problem as a Multi-Agent... | [] | Test |
35,188 | 27 | Title: Two-layer adaptive trajectory tracking controller for quadruped robots on slippery terrains
Abstract: Task space trajectory tracking for quadruped robots plays a crucial role on achieving dexterous maneuvers in unstructured environments. To fulfill the control objective, the robot should apply forces through the... | [
32668
] | Train |
35,189 | 24 | Title: A Lightweight Method for Tackling Unknown Participation Probabilities in Federated Averaging
Abstract: In federated learning (FL), clients usually have diverse participation probabilities that are unknown a priori, which can significantly harm the performance of FL if not handled properly. Existing works aiming ... | [
20501
] | Train |
35,190 | 24 | Title: Data-driven abstractions via adaptive refinements and a Kantorovich metric [extended version]
Abstract: We introduce an adaptive refinement procedure for smart, and scalable abstraction of dynamical systems. Our technique relies on partitioning the state space depending on the observation of future outputs. Howe... | [] | Train |
35,191 | 27 | Title: CDT-Dijkstra: Fast Planning of Globally Optimal Paths for All Points in 2D Continuous Space
Abstract: The Dijkstra algorithm is a classic path planning method, which in a discrete graph space, can start from a specified source node and find the shortest path between the source node and all other nodes in the gra... | [
24432
] | Validation |
35,192 | 30 | Title: Morphosyntactic probing of multilingual BERT models
Abstract:
We introduce an extensive dataset for multilingual probing of morphological information in language models (247 tasks across 42 languages from 10 families), each consisting of a sentence with a target word and a morphological tag as the desired labe... | [] | Train |
35,193 | 30 | Title: A Semantic Approach to Negation Detection and Word Disambiguation with Natural Language Processing
Abstract: This study aims to demonstrate the methods for detecting negations in a sentence by uniquely evaluating the lexical structure of the text via word-sense disambiguation. The proposed framework examines all... | [] | Train |
35,194 | 27 | Title: Hierarchical Planning and Control for Box Loco-Manipulation
Abstract: Humans perform everyday tasks using a combination of locomotion and manipulation skills. Building a system that can handle both skills is essential to creating virtual humans. We present a physically-simulated human capable of solving box rear... | [
43203,
38181,
759
] | Validation |
35,195 | 16 | Title: TDMD: A Database for Dynamic Color Mesh Subjective and Objective Quality Explorations
Abstract: Dynamic colored meshes (DCM) are widely used in various applications; however, these meshes may undergo different processes, such as compression or transmission, which can distort them and degrade their quality. To fa... | [
12181
] | Train |
35,196 | 16 | Title: Practical Network Acceleration with Tiny Sets
Abstract: Due to data privacy issues, accelerating networks with tiny training sets has become a critical need in practice. Previous methods mainly adopt filter-level pruning to accelerate networks with scarce training samples. In this paper, we reveal that dropping ... | [] | Train |
35,197 | 16 | Title: Adapting Self-Supervised Representations to Multi-Domain Setups
Abstract: Current state-of-the-art self-supervised approaches, are effective when trained on individual domains but show limited generalization on unseen domains. We observe that these models poorly generalize even when trained on a mixture of domai... | [] | Train |
35,198 | 27 | Title: Sim-and-Real Reinforcement Learning for Manipulation: A Consensus-based Approach
Abstract: Sim-and-real training is a promising alternative to sim-to-real training for robot manipulations. However, the current sim-and-real training is neither efficient, i.e., slow con-vergence to the optimal policy, nor effectiv... | [
35444
] | Train |
35,199 | 22 | Title: Safe Asynchronous Mixed-Choice for Timed Interactions
Abstract: nan | [] | Train |
35,200 | 30 | Title: Augmented Transformers with Adaptive n-grams Embedding for Multilingual Scene Text Recognition
Abstract: While vision transformers have been highly successful in improving the performance in image-based tasks, not much work has been reported on applying transformers to multilingual scene text recognition due to ... | [] | Test |
35,201 | 30 | Title: Stable Anisotropic Regularization
Abstract: Given the success of Large Language Models (LLMs), there has been considerable interest in studying the properties of model activations. The literature overwhelmingly agrees that LLM representations are dominated by a few ``outlier dimensions'' with exceedingly high va... | [
37209
] | Train |
35,202 | 16 | Title: ContentCTR: Frame-level Live Streaming Click-Through Rate Prediction with Multimodal Transformer
Abstract: In recent years, live streaming platforms have gained immense popularity as they allow users to broadcast their videos and interact in real-time with hosts and peers. Due to the dynamic changes of live cont... | [] | Train |
35,203 | 23 | Title: WASM-MUTATE: Fast and Effective Binary Diversification for WebAssembly
Abstract: WebAssembly has is renowned for its efficiency and security in browser environments and servers alike. The burgeoning ecosystem of WebAssembly compilers and tools lacks robust software diversification systems. We introduce WASM-MUTA... | [
28593,
38357,
1774
] | Train |
35,204 | 10 | Title: A Rule Based Theorem Prover: an Introduction to Proofs in Secondary Schools
Abstract: The introduction of automated deduction systems in secondary schools face several bottlenecks. Beyond the problems related with the curricula and the teachers, the dissonance between the outcomes of the geometry automated theor... | [] | Train |
35,205 | 16 | Title: Event-Based Shape from Polarization
Abstract: State-of-the-art solutions for Shape-from-Polarization (SfP) suffer from a speed-resolution tradeoff: they either sacrifice the number of polarization angles measured or necessitate lengthy acquisition times due to framerate constraints, thus compromising either accu... | [] | Test |
35,206 | 24 | Title: Same or Different? Diff-Vectors for Authorship Analysis
Abstract: In this paper we investigate the effects on authorship identification tasks (including authorship verification, closed-set authorship attribution, and closed-set and open-set same-author verification) of a fundamental shift in how to conceive the ... | [] | Validation |
35,207 | 30 | Title: Unsupervised Dialogue Topic Segmentation in Hyperdimensional Space
Abstract: We present HyperSeg, a hyperdimensional computing (HDC) approach to unsupervised dialogue topic segmentation. HDC is a class of vector symbolic architectures that leverages the probabilistic orthogonality of randomly drawn vectors at ex... | [] | Train |
35,208 | 24 | Title: Grounding Graph Network Simulators using Physical Sensor Observations
Abstract: Physical simulations that accurately model reality are crucial for many engineering disciplines such as mechanical engineering and robotic motion planning. In recent years, learned Graph Network Simulators produced accurate mesh-base... | [
38451,
25982
] | Train |
35,209 | 24 | Title: Wasserstein Auto-Encoders of Merge Trees (and Persistence Diagrams)
Abstract: This paper presents a computational framework for the Wasserstein auto-encoding of merge trees (MT-WAE), a novel extension of the classical auto-encoder neural network architecture to the Wasserstein metric space of merge trees. In con... | [
6578
] | Validation |
35,210 | 24 | Title: DoCoFL: Downlink Compression for Cross-Device Federated Learning
Abstract: Many compression techniques have been proposed to reduce the communication overhead of Federated Learning training procedures. However, these are typically designed for compressing model updates, which are expected to decay throughout tra... | [
7617
] | Validation |
35,211 | 31 | Title: RECipe: Does a Multi-Modal Recipe Knowledge Graph Fit a Multi-Purpose Recommendation System?
Abstract: Over the past two decades, recommendation systems (RSs) have used machine learning (ML) solutions to recommend items, e.g., movies, books, and restaurants, to clients of a business or an online platform. Recipe... | [] | Validation |
35,212 | 2 | Title: Enumerating Disjoint Partial Models without Blocking Clauses
Abstract: A basic algorithm for enumerating disjoint propositional models (disjoint AllSAT) is based on adding blocking clauses incrementally, ruling out previously found models. On the one hand, blocking clauses have the potential to reduce the number... | [] | Validation |
35,213 | 27 | Title: Autonomous Aerial Filming With Distributed Lighting by a Team of Unmanned Aerial Vehicles
Abstract: This letter describes a method for autonomous aerial cinematography with distributed lighting by a team of unmanned aerial vehicles (UAVs). Although camera-carrying multi-rotor helicopters have become commonplace ... | [
27877,
22599,
45306,
15213,
35630,
28469,
36890,
2431
] | Train |
35,214 | 28 | Title: On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless Channels
Abstract: We analytically derive from first physical principles the functional dependence of wireless channels on the RIS configuration for generic (i.e., potentially complex-scattering) RIS-parametrized radio envir... | [
3736,
3354,
14210
] | Validation |
35,215 | 16 | Title: Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification
Abstract: Biodiversity monitoring is crucial for tracking and counteracting adverse trends in population fluctuations. However, automatic recognition systems are rarely applied so far, and experts evaluate... | [
36839
] | Test |
35,216 | 16 | Title: RLIPv2: Fast Scaling of Relational Language-Image Pre-training
Abstract: Relational Language-Image Pre-training (RLIP) aims to align vision representations with relational texts, thereby advancing the capability of relational reasoning in computer vision tasks. However, hindered by the slow convergence of RLIPv1... | [
10624,
21834,
5915,
29423
] | Train |
35,217 | 3 | Title: From computational ethics to morality: how decision-making algorithms can help us understand the emergence of moral principles, the existence of an optimal behaviour and our ability to discover it
Abstract: This paper adds to the efforts of evolutionary ethics to naturalize morality by providing specific insight... | [] | Train |
35,218 | 28 | Title: Full Duplex Joint Communications and Sensing for 6G: Opportunities and Challenges
Abstract: The paradigm of joint communications and sensing (JCAS) envisions a revolutionary integration of communication and radar functionalities within a unified hardware platform. This novel concept not only opens up unprecedent... | [
12770,
32043
] | Train |
35,219 | 24 | Title: U-Clip: On-Average Unbiased Stochastic Gradient Clipping
Abstract: U-Clip is a simple amendment to gradient clipping that can be applied to any iterative gradient optimization algorithm. Like regular clipping, U-Clip involves using gradients that are clipped to a prescribed size (e.g. with component wise or norm... | [] | Test |
35,220 | 30 | Title: Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition
Abstract: It has been a hot research topic to enable machines to understand human emotions in multimodal contexts under dialogue scenarios, which is tasked with multimodal emotion analysis in conversati... | [
29346,
16130,
19172,
17642,
39919,
31034,
8509
] | Test |
35,221 | 27 | Title: Stabilize to Act: Learning to Coordinate for Bimanual Manipulation
Abstract: Key to rich, dexterous manipulation in the real world is the ability to coordinate control across two hands. However, while the promise afforded by bimanual robotic systems is immense, constructing control policies for dual arm autonomo... | [
12567
] | Train |
35,222 | 24 | Title: Vector-Quantized Graph Auto-Encoder
Abstract: In this work, we addresses the problem of modeling distributions of graphs. We introduce the Vector-Quantized Graph Auto-Encoder (VQ-GAE), a permutation-equivariant discrete auto-encoder and designed to model the distribution of graphs. By exploiting the permutation-... | [] | Train |
35,223 | 24 | Title: The Impact of the Geometric Properties of the Constraint Set in Safe Optimization with Bandit Feedback
Abstract: We consider a safe optimization problem with bandit feedback in which an agent sequentially chooses actions and observes responses from the environment, with the goal of maximizing an arbitrary functi... | [] | Train |
35,224 | 24 | Title: FS-REAL: Towards Real-World Cross-Device Federated Learning
Abstract: Federated Learning (FL) aims to train high-quality models in collaboration with distributed clients while not uploading their local data, which attracts increasing attention in both academia and industry. However, there is still a considerable... | [
31619,
29989,
12686
] | Train |
35,225 | 28 | Title: Low-Complexity Pareto-Optimal 3D Beamforming for the Full-Dimensional Multi-User Massive MIMO Downlink
Abstract: Full-dimensional (FD) multi-user massive multiple-input multiple output (m-MIMO) systems employ large two-dimensional (2D) rectangular antenna arrays to control both the azimuth and elevation angles o... | [] | Train |
35,226 | 26 | Title: Streaming phishing scam detection method on Ethereum
Abstract: Phishing is a widespread scam activity on Ethereum, causing huge financial losses to victims. Most existing phishing scam detection methods abstract accounts on Ethereum as nodes and transactions as edges, then use manual statistics of static node fe... | [
21562
] | Validation |
35,227 | 16 | Title: GRAN: Ghost Residual Attention Network for Single Image Super Resolution
Abstract: Recently, many works have designed wider and deeper networks to achieve higher image super-resolution performance. Despite their outstanding performance, they still suffer from high computational resources, preventing them from di... | [
9233,
25299
] | Train |
35,228 | 30 | Title: Column Type Annotation using ChatGPT
Abstract: Column type annotation is the task of annotating the columns of a relational table with the semantic type of the values contained in each column. Column type annotation is an important pre-processing step for data search and data integration in the context of data l... | [
40192,
34236,
9775
] | Train |
35,229 | 8 | Title: Energy-Latency Aware Intelligent Reflecting Surface Aided Multi-cell Mobile Edge Computing
Abstract: The explosive development of the Internet of Things (IoT) has led to increased interest in mobile edge computing (MEC), which provides computational resources at network edges to accommodate computation-intensive... | [] | Train |
35,230 | 24 | Title: Beyond dynamic programming
Abstract: In this paper, we present Score-life programming, a novel theoretical approach for solving reinforcement learning problems. In contrast with classical dynamic programming-based methods, our method can search over non-stationary policy functions, and can directly compute optim... | [] | Train |
35,231 | 16 | Title: Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation
Abstract: Deep neural networks have achieved remarkable performance for artificial intelligence tasks. The success behind intelligent systems often relies on large-scale models with high computational complexity and storage co... | [
25541
] | Validation |
35,232 | 28 | Title: Solving $X^{2^{2k}+2^{k}+1}+(X+1)^{2^{2k}+2^{k}+1}=b$ over $\GF{2^{4k}}$
Abstract: Let $F(X)=X^{2^{2k}+2^k+1}$ be the power function over the finite field $\GF{2^{4k}}$ which is known as the Bracken-Leander function. In \cite{BCC10,BL10,CV20,Fu22,XY17}, it was proved that the number of solutions in $\GF{q^4}$ to... | [] | Train |
35,233 | 16 | Title: Beyond Document Page Classification: Design, Datasets, and Challenges
Abstract: This paper highlights the need to bring document classification benchmarking closer to real-world applications, both in the nature of data tested ($X$: multi-channel, multi-paged, multi-industry; $Y$: class distributions and label se... | [
7689,
26338,
34305
] | Train |
35,234 | 10 | Title: High Accuracy Location Information Extraction from Social Network Texts Using Natural Language Processing
Abstract: Terrorism has become a worldwide plague with severe consequences for the development of nations. Besides killing innocent people daily and preventing educational activities from taking place, terro... | [
7136,
44361,
36547
] | Train |
35,235 | 24 | Title: Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting
Abstract: Early stopping based on the validation set performance is a popular approach to find the right balance between under- and overfitting in the context of supervised learning. However, in reinforcement learning, even for supervised sub-probl... | [] | Test |
35,236 | 27 | Title: Chasing Millimeters: Design, Navigation and State Estimation for Precise In-flight Marking on Ceilings
Abstract: Precise markings for drilling and assembly are crucial, laborious construction tasks. Aerial robots with suitable end-effectors are capable of markings at the millimeter scale. However, so far, they h... | [] | Train |
35,237 | 16 | Title: Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art
Abstract: Transformers have rapidly gained popularity in computer vision, especially in the field of object recognition and detection. Upon examining the outcomes of state-of-the-art object detection methods, we noticed that trans... | [
13893,
31294,
26983
] | Test |
35,238 | 22 | Title: Efficient and Accurate Automatic Python Bindings with cppyy & Cling
Abstract: The simplicity of Python and the power of C++ force stark choices on a scientific software stack. There have been multiple developments to mitigate language boundaries by implementing language bindings, but the impedance mismatch betwe... | [] | Validation |
35,239 | 16 | Title: Considerations on the Evaluation of Biometric Quality Assessment Algorithms
Abstract: Quality assessment algorithms can be used to estimate the utility of a biometric sample for the purpose of biometric recognition."Error versus Discard Characteristic"(EDC) plots, and"partial Area Under Curve"(pAUC) values of cu... | [
41948
] | Test |
35,240 | 36 | Title: Inoculation strategies for bounded degree graphs
Abstract: We analyze a game-theoretic abstraction of epidemic containment played on an undirected graph $G$: each player is associated with a node in $G$ and can either acquire protection from a contagious process or risk infection. After decisions are made, an in... | [] | Train |
35,241 | 33 | Title: Live Programming for Finite Model Finders
Abstract: Finite model finders give users the ability to specify properties of a system in mathematical logic and then automatically find concrete examples, called solutions, that satisfy the properties. These solutions are often viewed as a key benefit of model finders,... | [] | Train |
35,242 | 16 | Title: Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
Abstract: Modern hierarchical vision transformers have added several vision-specific components in the pursuit of supervised classification performance. While these components lead to effective accuracies and attractive FLOP counts, the adde... | [
1067,
29873,
42866,
25400,
20026
] | Validation |
35,243 | 30 | Title: MEWL: Few-shot multimodal word learning with referential uncertainty
Abstract: Without explicit feedback, humans can rapidly learn the meaning of words. Children can acquire a new word after just a few passive exposures, a process known as fast mapping. This word learning capability is believed to be the most fu... | [
3344,
5355,
16837
] | Train |
35,244 | 30 | Title: UNIMO-3: Multi-granularity Interaction for Vision-Language Representation Learning
Abstract: Vision-and-language (VL) pre-training, which aims to learn a general representation of image-text pairs that can be transferred to various vision-and-language tasks. Compared with modeling uni-modal data, the main challe... | [] | Train |
35,245 | 16 | Title: Gloss-Free End-to-End Sign Language Translation
Abstract: In this paper, we tackle the problem of sign language translation (SLT) without gloss annotations. Although intermediate representation like gloss has been proven effective, gloss annotations are hard to acquire, especially in large quantities. This limit... | [
11822
] | Train |
35,246 | 22 | Title: Monitoring Blackbox Implementations of Multiparty Session Protocols
Abstract: We present a framework for the distributed monitoring of networks of components that coordinate by message-passing, following multiparty session protocols specified as global types. We improve over prior works by (i) supporting compone... | [] | Test |
35,247 | 28 | Title: Optimized Geometric Constellation Shaping for Wiener Phase Noise Channels with Viterbi-Viterbi Carrier Phase Estimation
Abstract: The Viterbi&Viterbi (V&V) algorithm is well understood for QPSK and 16-QAM, but modifications are required for higher-order modulation formats. We present an approach to extend the st... | [] | Train |
35,248 | 3 | Title: PopSim: An Individual-level Population Simulator for Equitable Allocation of City Resources
Abstract: Historical systematic exclusionary tactics based on race have forced people of certain demographic groups to congregate in specific urban areas. Aside from the ethical aspects of such segregation, these policies... | [] | Train |
35,249 | 36 | Title: Constrained Correlated Equilibria
Abstract: This paper introduces constrained correlated equilibrium, a solution concept combining correlation and coupled constraints in finite non-cooperative games. In the general case of an arbitrary correlation device and coupled constraints in the extended game, we study the... | [] | Validation |
35,250 | 24 | Title: Supervised Pretraining Can Learn In-Context Reinforcement Learning
Abstract: Large transformer models trained on diverse datasets have shown a remarkable ability to learn in-context, achieving high few-shot performance on tasks they were not explicitly trained to solve. In this paper, we study the in-context lea... | [
37252,
42858,
29612,
37742,
8019,
26485,
3165
] | Validation |
35,251 | 9 | Title: Linear isomorphism testing of Boolean functions with small approximate spectral norm
Abstract: Two Boolean functions f, g : F_2^{n} \to {-1, 1} are called linearly isomorphic if there exists an invertible matrix M \in F_2^{n\times n} such that f\circ M = g. Testing linear isomorphism is a generalization of, now ... | [] | Train |
35,252 | 24 | Title: Frustratingly Easy Model Generalization by Dummy Risk Minimization
Abstract: Empirical risk minimization (ERM) is a fundamental machine learning paradigm. However, its generalization ability is limited in various tasks. In this paper, we devise Dummy Risk Minimization (DuRM), a frustratingly easy and general tec... | [] | Train |
35,253 | 13 | Title: Noise impact on recurrent neural network with linear activation function
Abstract: In this paper we analyze an echo state neural network (ESN) in the presence of uncorrelated additive and multiplicative white Gaussian noise. Here we consider the case where artificial neurons have a linear activation function wit... | [] | Train |
35,254 | 14 | Title: Algorithms for computing norms and characteristic polynomials on general Drinfeld modules
Abstract: We provide two families of algorithms to compute characteristic polynomials of endomorphisms and norms of isogenies of Drinfeld modules. Our algorithms work for Drinfeld modules of any rank, defined over any base ... | [
31777,
40551
] | Test |
35,255 | 30 | Title: JaCoText: A Pretrained Model for Java Code-Text Generation
Abstract: Pretrained transformer-based models have shown high performance in natural language generation task. However, a new wave of interest has surged: automatic programming language generation. This task consists of translating natural language instr... | [
11442,
41579
] | Test |
35,256 | 34 | Title: Computing the Vapnik Chervonenkis Dimension for Non-Discrete Settings
Abstract: In 1984, Valiant [ 7 ] introduced the Probably Approximately Correct (PAC) learning framework for boolean function classes. Blumer et al. [ 2] extended this model in 1989 by introducing the VC dimension as a tool to characterize the ... | [] | Train |
35,257 | 6 | Title: Storyfier: Exploring Vocabulary Learning Support with Text Generation Models
Abstract: Vocabulary learning support tools have widely exploited existing materials, e.g., stories or video clips, as contexts to help users memorize each target word. However, these tools could not provide a coherent context for any t... | [
27868
] | Train |
35,258 | 24 | Title: Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies
Abstract: Recently, the impressive empirical success of policy gradient (PG) methods has catalyzed the development of their theoretical foundations. Despite the huge efforts directed at the design of efficient stoch... | [
44307,
20167
] | Train |
35,259 | 24 | Title: Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories
Abstract: With the increasing volume of astronomical data generated by modern survey telescopes, automated pipelines and machine learning techniques have become crucial for analyzing and extracting knowledge from these... | [] | Train |
35,260 | 26 | Title: Resilience of the reported global human-nature interaction network to pandemic conditions
Abstract: Understanding human-nature interactions and the architecture of coupled human-nature systems is crucial for sustainable development. Cultural ecosystem services (CES), defined as intangible benefits derived from n... | [] | Test |
35,261 | 2 | Title: Hierarchical string diagrams and applications
Abstract: This is a tutorial text giving an advanced introduction to the diagrammatic syntax of monoidal (and Cartesian) closed categories in the style of"functorial boxes". This syntax can be efficiently represented as a data structure which we call hierarchical hyp... | [] | Validation |
35,262 | 10 | Title: Considering Human Factors in Risk Maps for Robust and Foresighted Driver Warning
Abstract: Driver support systems that include human states in the support process is an active research field. Many recent approaches allow, for example, to sense the driver's drowsiness or awareness of the driving situation. Howeve... | [
20458,
16203
] | Train |
35,263 | 16 | Title: A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering
Abstract: Segment anything model (SAM) developed by Meta AI Research has recently attracted significant attention. Trained on a large segmentation dataset of over 1 billion masks, SAM is capable of segmenting any object on... | [
9606,
4871,
13192,
36103,
45327,
27794,
27027,
17046,
28570,
42267,
42270,
11551,
2976,
6560,
12704,
44707,
45087,
18470,
39849,
43692,
28718,
41008,
6833,
30385,
8243,
4788,
13876,
15029,
17335,
18360,
30518,
44854,
35641,
5821,
18112,
9281,
5... | Validation |
35,264 | 16 | Title: Dhan-Shomadhan: A Dataset of Rice Leaf Disease Classification for Bangladeshi Local Rice
Abstract: This dataset represents almost all the harmful diseases for rice in Bangladesh. This dataset consists of 1106 image of five harmful diseases called Brown Spot, Leaf Scaled, Rice Blast, Rice Turngo, Steath Blight in... | [] | Train |
35,265 | 28 | Title: Impact of Phase-Shift Error on the Secrecy Performance of Uplink RIS Communication Systems
Abstract: Reconfigurable intelligent surface (RIS) has been recognized as a promising technique for the sixth gen-eration (6G) of mobile communication networks. The key feature of RIS is to reconfigure the propagation enviro... | [] | Test |
35,266 | 27 | Title: FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings
Abstract: An ego vehicle following a virtual lead vehicle planned route is an essential component when autonomous and non-autonomous vehicles interact. Yet, there is a question about the driver's ability to follow the planned lead vehicle rout... | [] | Train |
35,267 | 24 | Title: Katakomba: Tools and Benchmarks for Data-Driven NetHack
Abstract: NetHack is known as the frontier of reinforcement learning research where learning-based methods still need to catch up to rule-based solutions. One of the promising directions for a breakthrough is using pre-collected datasets similar to recent d... | [
22816,
43201,
16227,
12790
] | Validation |
35,268 | 16 | Title: Self-Attention Based Generative Adversarial Networks For Unsupervised Video Summarization
Abstract: In this paper, we study the problem of producing a comprehensive video summary following an unsupervised approach that relies on adversarial learning. We build on a popular method where a Generative Adversarial Ne... | [] | Train |
35,269 | 6 | Title: Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory
Abstract: Social media platforms use short, highly engaging videos to catch users’ attention. While the short-form video feeds popularized by TikTok are rapidly spreading to other platforms, we do not y... | [] | Train |
35,270 | 31 | Title: HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace
Abstract: Query categorization at customer-to-customer e-commerce platforms like Facebook Marketplace is challenging due to the vagueness of search intent, noise in real-world data, and imbalanced training data across ... | [
26697,
25007,
27637,
33530,
25342
] | Validation |
35,271 | 30 | Title: Blackbird language matrices (BLM), a new task for rule-like generalization in neural networks: Motivations and Formal Specifications
Abstract: We motivate and formally define a new task for fine-tuning rule-like generalization in large language models. It is conjectured that the shortcomings of current LLMs are ... | [] | Validation |
35,272 | 27 | Title: Wasserstein Distributionally Robust Chance Constrained Trajectory Optimization for Mobile Robots within Uncertain Safe Corridor
Abstract: Safe corridor-based Trajectory Optimization (TO) presents an appealing approach for collision-free path planning of autonomous robots, offering global optimality through its c... | [
6738
] | Train |
35,273 | 16 | Title: Light-VQA: A Multi-Dimensional Quality Assessment Model for Low-Light Video Enhancement
Abstract: Recently, Users Generated Content (UGC) videos becomes ubiquitous in our daily lives. However, due to the limitations of photographic equipments and techniques, UGC videos often contain various degradations, in whic... | [
15591,
2247,
7823,
21714,
310
] | Test |
35,274 | 16 | Title: Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning
Abstract: Self-supervised audio-visual source localization aims to locate sound-source objects in video frames without extra annotations. Recent methods often approach this goal with the help of contrastive learning, which as... | [
36322,
2774
] | Validation |
35,275 | 28 | Title: MacWilliams Type Identities for Linear Block Codes on Certain Pomsets
Abstract: Pomset block metric is a generalization of pomset metric. In this paper, we define weight enumerator of linear block codes in pomset metric over $\mathbb{Z}_m$ and establish MacWilliams type identities for linear block codes with res... | [] | Train |
35,276 | 24 | Title: Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs
Abstract: Graphs are widely used to encapsulate a variety of data formats, but real-world networks often involve complex node relations beyond only being pairwise. While hypergraphs and hierarchical graphs have been deve... | [] | Train |
35,277 | 30 | Title: How Does Pretraining Improve Discourse-Aware Translation?
Abstract: Pretrained language models (PLMs) have produced substantial improvements in discourse-aware neural machine translation (NMT), for example, improved coherence in spoken language translation. However, the underlying reasons for their strong perfor... | [
12945,
38780
] | Train |
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