node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
44,478 | 24 | Title: Hyperparameter Tuning and Model Evaluation in Causal Effect Estimation
Abstract: The performance of most causal effect estimators relies on accurate predictions of high-dimensional non-linear functions of the observed data. The remarkable flexibility of modern Machine Learning (ML) methods is perfectly suited to... | [] | Validation |
44,479 | 34 | Title: The Longest Subsequence-Repeated Subsequence Problem
Abstract: Motivated by computing duplication patterns in sequences, a new fundamental problem called the longest subsequence-repeated subsequence (LSRS) is proposed. Given a sequence $S$ of length $n$, a letter-repeated subsequence is a subsequence of $S$ in t... | [] | Validation |
44,480 | 24 | Title: Reinforcement Learning from Passive Data via Latent Intentions
Abstract: Passive observational data, such as human videos, is abundant and rich in information, yet remains largely untapped by current RL methods. Perhaps surprisingly, we show that passive data, despite not having reward or action labels, can stil... | [
21062,
39479
] | Train |
44,481 | 24 | Title: Baseline Defenses for Adversarial Attacks Against Aligned Language Models
Abstract: As Large Language Models quickly become ubiquitous, it becomes critical to understand their security vulnerabilities. Recent work shows that text optimizers can produce jailbreaking prompts that bypass moderation and alignment. D... | [
13700,
17295,
8852,
8853,
29087,
28575,
41122,
27815,
34987,
6832,
42417,
4658,
5815,
11704,
61,
18764,
4565,
1369,
7648,
109,
41328
] | Train |
44,482 | 30 | Title: Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning
Abstract: This paper presents a systematic overview and comparison of parameter-efficient fine-tuning methods covering over 40 papers published between February 2019 and February 2023. These methods aim to resolve the infeasibility and impracti... | [
3585,
13700,
30472,
1930,
36746,
29076,
42901,
37919,
38565,
36518,
18991,
40377,
36669,
20799,
841,
458,
33363,
39273,
32249
] | Test |
44,483 | 16 | Title: ITstyler: Image-optimized Text-based Style Transfer
Abstract: Text-based style transfer is a newly-emerging research topic that uses text information instead of style image to guide the transfer process, significantly extending the application scenario of style transfer. However, previous methods require extra t... | [] | Train |
44,484 | 16 | Title: Patch of Invisibility: Naturalistic Black-Box Adversarial Attacks on Object Detectors
Abstract: Adversarial attacks on deep-learning models have been receiving increased attention in recent years. Work in this area has mostly focused on gradient-based techniques, so-called white-box attacks, wherein the attacker... | [
7623,
24143,
11443,
12179,
39866
] | Validation |
44,485 | 30 | Title: Towards Explainable AI Writing Assistants for Non-native English Speakers
Abstract: We highlight the challenges faced by non-native speakers when using AI writing assistants to paraphrase text. Through an interview study with 15 non-native English speakers (NNESs) with varying levels of English proficiency, we o... | [] | Train |
44,486 | 30 | Title: External Reasoning: Towards Multi-Large-Language-Models Interchangeable Assistance with Human Feedback
Abstract: Memory is identified as a crucial human faculty that allows for the retention of visual and linguistic information within the hippocampus and neurons in the brain, which can subsequently be retrieved ... | [
33220,
35785,
16827,
13700
] | Train |
44,487 | 26 | Title: Quantifying Collection Lag in European Modern and Contemporary Art Museums
Abstract: Museum collection strategies are governed by a variety of factors, including topical focus, acquisition funds, availability of works in the art market, donations and specific coincidental opportunities. Yet, it remains unclear i... | [] | Train |
44,488 | 30 | Title: Psychological Metrics for Dialog System Evaluation
Abstract: We present metrics for evaluating dialog systems through a psychologically-grounded"human"lens in which conversational agents express a diversity of both states (e.g., emotion) and traits (e.g., personality), just as people do. We present five interpre... | [
36097,
846
] | Train |
44,489 | 16 | Title: Forward-Forward Algorithm for Hyperspectral Image Classification: A Preliminary Study
Abstract: The back-propagation algorithm has long been the de-facto standard in optimizing weights and biases in neural networks, particularly in cutting-edge deep learning models. Its widespread adoption in fields like natural... | [] | Train |
44,490 | 10 | Title: AAAI 2022 Fall Symposium: System-1 and System-2 realized within the Common Model of Cognition
Abstract: Attempts to import dual-system descriptions of System-1 and System-2 into AI have been hindered by a lack of clarity over their distinction. We address this and other issues by situating System-1 and System-2 ... | [
7818
] | Train |
44,491 | 26 | Title: Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees
Abstract: The rapid growth of social media has caused tremendous effects on information propagation, raising extreme challenges in detecting rumors. Existing rumor detection methods typically exploit the reposting propagation of a ru... | [
39680
] | Test |
44,492 | 21 | Title: Classification of Sequential Circuits as Causal Functions
Abstract: In sequential circuits, the current output may depend on both past and current inputs. However, certain kinds of sequential circuits do not refer to all of the past inputs to generate the current output; they only refer to a subset of past input... | [] | Train |
44,493 | 23 | Title: dump1030: Open-Source Plug-and-Play Demodulator/Decoder for 1030 MHz Uplink
Abstract: Automatic Dependent Surveillance, Automatic Dependent Surveillance–Broadcast, secondary surveillance radars, and Mode S are key air surveillance technologies representing a critical component of next-generation air transportati... | [
33784
] | Test |
44,494 | 28 | Title: Joint Identification and Sensing for Discrete Memoryless Channels
Abstract: In the identification (ID) scheme proposed by Ahlswede and Dueck, the receiver only checks whether a message of special interest to him has been sent or not. In contrast to Shannon transmission codes, the size of ID codes for a Discrete ... | [
11013
] | Train |
44,495 | 4 | Title: TorKameleon: Improving Tor's Censorship Resistance With K-anonimization and Media-based Covert Channels
Abstract: Anonymity networks like Tor greatly improve online privacy but are susceptible to correlation attacks from state-level adversaries and Internet censors. To enhance privacy, covert channels encapsulat... | [] | Train |
44,496 | 16 | Title: Query - Dependent Video Representation for Moment Retrieval and Highlight Detection
Abstract: Recently, video moment retrieval and highlight detection (MR/HD) are being spotlighted as the demand for video understanding is drastically increased. The key objective of MR/HD is to localize the moment and estimate cl... | [
30690,
20010,
3076,
27374
] | Test |
44,497 | 16 | Title: Transformer-based Image Generation from Scene Graphs
Abstract: Graph-structured scene descriptions can be efficiently used in generative models to control the composition of the generated image. Previous approaches are based on the combination of graph convolutional networks and adversarial methods for layout pr... | [
41677
] | Test |
44,498 | 22 | Title: Local Reasoning about Probabilistic Behaviour for Classical-Quantum Programs
Abstract: Verifying the functional correctness of programs with both classical and quantum constructs is a challenging task. The presence of probabilistic behaviour entailed by quantum measurements and unbounded while loops complicate t... | [] | Test |
44,499 | 26 | Title: Extending adjacency matrices to 3D with triangles
Abstract: Social networks are the fabric of society and the subject of frequent visual analysis. Closed triads represent triangular relationships between three people in a social network and are significant for understanding inherent interconnections and influenc... | [] | Train |
44,500 | 35 | Title: Joint Time-and Event-Triggered Scheduling in the Linux Kernel
Abstract: There is increasing interest in using Linux in the real-time domain due to the emergence of cloud and edge computing, the need to decrease costs, and the growing number of complex functional and non-functional requirements of real-time appli... | [] | Train |
44,501 | 16 | Title: Generalizable Neural Voxels for Fast Human Radiance Fields
Abstract: Rendering moving human bodies at free viewpoints only from a monocular video is quite a challenging problem. The information is too sparse to model complicated human body structures and motions from both view and pose dimensions. Neural radianc... | [
3672,
43561,
43296,
38368
] | Train |
44,502 | 30 | Title: Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts
Abstract: This paper explores methods for extracting information from radiology reports that generalize across exam modalities to reduce requirements for annotated data. We demonstrate that multi-pass ... | [
42908,
9518
] | Validation |
44,503 | 16 | Title: FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration
Abstract: Multi-modality fusion and multi-task learning are becoming trendy in 3D autonomous driving scenario, considering robust prediction and computation budget. However, naively extending the existing framework to th... | [] | Test |
44,504 | 24 | Title: Reinforcement Learning by Guided Safe Exploration
Abstract: Safety is critical to broadening the application of reinforcement learning (RL). Often, we train RL agents in a controlled environment, such as a laboratory, before deploying them in the real world. However, the real-world target task might be unknown p... | [] | Train |
44,505 | 26 | Title: Predicting Tweet Engagement with Graph Neural Networks
Abstract: Social Networks represent one of the most important online sources to share content across a world-scale audience. In this context, predicting whether a post will have any impact in terms of engagement is of crucial importance to drive the profitab... | [] | Test |
44,506 | 23 | Title: Software Vulnerability Prediction Knowledge Transferring Between Programming Languages
Abstract: Developing automated and smart software vulnerability detection models has been receiving great attention from both research and development communities. One of the biggest challenges in this area is the lack of code... | [] | Train |
44,507 | 16 | Title: Fusion of Radio and Camera Sensor Data for Accurate Indoor Positioning
Abstract: Indoor positioning systems have received a lot of attention recently due to their importance for many location-based services, e.g. indoor navigation and smart buildings. Lightweight solutions based on WiFi and inertial sensing have... | [
15872
] | Train |
44,508 | 16 | Title: Source-Free Open-Set Domain Adaptation for Histopathological Images via Distilling Self-Supervised Vision Transformer
Abstract: There is a strong incentive to develop computational pathology models to i) ease the burden of tissue typology annotation from whole slide histological images; ii) transfer knowledge, e... | [] | Train |
44,509 | 39 | Title: On the Giant Component of Geometric Inhomogeneous Random Graphs
Abstract: In this paper we study the threshold model of \emph{geometric inhomogeneous random graphs} (GIRGs); a generative random graph model that is closely related to \emph{hyperbolic random graphs} (HRGs). These models have been observed to captu... | [] | Test |
44,510 | 24 | Title: Defect detection using weakly supervised learning
Abstract: In many real-world scenarios, obtaining large amounts of labeled data can be a daunting task. Weakly supervised learning techniques have gained significant attention in recent years as an alternative to traditional supervised learning, as they enable tr... | [] | Train |
44,511 | 16 | Title: When ChatGPT for Computer Vision Will Come? From 2D to 3D
Abstract: ChatGPT and its improved variant GPT4 have revolutionized the NLP field with a single model solving almost all text related tasks. However, such a model for computer vision does not exist, especially for 3D vision. This article first provides a ... | [
27866,
3066,
1899
] | Train |
44,512 | 8 | Title: Multi-armed Bandit Learning for TDMA Transmission Slot Scheduling and Defragmentation for Improved Bandwidth Usage
Abstract: This paper proposes a Time Division Multiple Access (TDMA) MAC slot allocation protocol with efficient bandwidth usage in wireless sensor networks and Internet of Things (IoTs). The develo... | [] | Test |
44,513 | 24 | Title: PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning
Abstract: Offline-to-online reinforcement learning (RL), by combining the benefits of offline pretraining and online finetuning, promises enhanced sample efficiency and policy performance. However, existing methods, effective as they ar... | [
15201,
17631,
14475,
816,
23859,
28534,
16407,
44566,
7039
] | Validation |
44,514 | 6 | Title: "Nice to meet you!": Expressing Emotions with Movement Gestures and Textual Content in Automatic Handwriting Robots
Abstract: Text-writing robots have been used in assistive writing and drawing applications. However, robots do not convey emotional tones in the writing process due to the lack of behaviors humans ... | [] | Train |
44,515 | 28 | Title: On Minimax Detection of Gaussian Stochastic Sequences with Imprecisely Known Means and Covariance Matrices
Abstract: nan | [
37664
] | Train |
44,516 | 24 | Title: Stop overkilling simple tasks with black-box models and use transparent models instead
Abstract: In recent years, the employment of deep learning methods has led to several significant breakthroughs in artificial intelligence. Different from traditional machine learning models, deep learning-based approaches are... | [] | Validation |
44,517 | 1 | Title: Scene Graph Lossless Compression with Adaptive Prediction for Objects and Relations
Abstract: The scene graph is a new data structure describing objects and their pairwise relationship within image scenes. As the size of scene graph in vision applications grows, how to losslessly and efficiently store such data ... | [] | Train |
44,518 | 34 | Title: Approximation algorithms for the square min-sum bin packing problem
Abstract: In this work, we study the square min-sum bin packing problem (SMSBPP), where a list of square items has to be packed into indexed square bins of dimensions $1 \times 1$ with no overlap between the areas of the items. The bins are inde... | [] | Train |
44,519 | 31 | Title: Cross-Modal Content Inference and Feature Enrichment for Cold-Start Recommendation
Abstract: Multimedia recommendation aims to fuse the multi-modal information of items for feature enrichment to improve the recommendation performance. However, existing methods typically introduce multi-modal information based on... | [
39731,
27422,
45343
] | Train |
44,520 | 16 | Title: Dynamic Event-based Optical Identification and Communication
Abstract: Optical identification is often done with spatial or temporal visual pattern recognition and localization. Temporal pattern recognition, depending on the technology, involves a trade-off between communication frequency, range and accurate tra... | [
1718
] | Train |
44,521 | 16 | Title: AutoKary2022: A Large-Scale Densely Annotated Dataset for Chromosome Instance Segmentation
Abstract: Automated chromosome instance segmentation from metaphase cell microscopic images is critical for the diagnosis of chromosomal disorders (i.e., karyotype analysis). However, it is still a challenging task due to ... | [] | Train |
44,522 | 16 | Title: Towards Local Visual Modeling for Image Captioning
Abstract: nan | [
24622
] | Validation |
44,523 | 10 | Title: RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization
Abstract: Visual Reinforcement Learning (Visual RL), coupled with high-dimensional observations, has consistently confronted the long-standing challenge of out-of-distribution generalization. Despite the focus on algorithms aimed at resolving... | [
43473,
8983
] | Validation |
44,524 | 26 | Title: Node Attribute Prediction on Multilayer Networks with Weighted and Directed Edges
Abstract: With the rapid development of digital platforms, users can now interact in endless ways from writing business reviews and comments to sharing information with their friends and followers. As a result, organizations have n... | [] | Train |
44,525 | 37 | Title: A Primer on the Data Cleaning Pipeline
Abstract: The availability of both structured and unstructured databases, such as electronic health data, social media data, patent data, and surveys that are often updated in real time, among others, has grown rapidly over the past decade. With this expansion, the statisti... | [] | Validation |
44,526 | 30 | Title: Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis
Abstract: Monetary policy pronouncements by Federal Open Market Committee (FOMC) are a major driver of financial market returns. We construct the largest tokenized and annotated dataset of FOMC speeches, meeting minutes, and press conference ... | [
37397
] | Train |
44,527 | 5 | Title: Breadth-First Depth-Next: Optimal Collaborative Exploration of Trees with Low Diameter
Abstract: We consider the problem of collaborative tree exploration posed by Fraigniaud, Gasieniec, Kowalski, and Pelc [Fraigniaud et al., 2006] where a team of k agents is tasked to collectively go through all the edges of an... | [
24031
] | Train |
44,528 | 4 | Title: Majority Voting Approach to Ransomware Detection
Abstract: Crypto-ransomware remains a significant threat to governments and companies alike, with high-profile cyber security incidents regularly making headlines. Many different detection systems have been proposed as solutions to the ever-changing dynamic landsc... | [] | Train |
44,529 | 24 | Title: Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs
Abstract: Graph Transformers, emerging as a new architecture for graph representation learning, suffer from the quadratic complexity on the number of nodes when handling large graphs. To this end, we propose a Neig... | [
44836
] | Train |
44,530 | 24 | Title: Causal Theories and Structural Data Representations for Improving Out-of-Distribution Classification
Abstract: We consider how human-centered causal theories and tools from the dynamical systems literature can be deployed to guide the representation of data when training neural networks for complex classificatio... | [
13349
] | Train |
44,531 | 30 | Title: Personality Understanding of Fictional Characters during Book Reading
Abstract: Comprehending characters’ personalities is a crucial aspect of story reading. As readers engage with a story, their understanding of a character evolves based on new events and information; and multiple fine-grained aspects of person... | [
13700
] | Train |
44,532 | 30 | Title: Shared Lexical Items as Triggers of Code Switching
Abstract: Why do bilingual speakers code-switch (mix their two languages)? Among the several theories that attempt to explain this natural and ubiquitous phenomenon, the Triggering Hypothesis relates code-switching to the presence of lexical triggers, specifical... | [] | Train |
44,533 | 10 | Title: ITHACA. A TOOL FOR INTEGRATING FUZZY LOGIC IN UNITY
Abstract: Ithaca is a Fuzzy Logic (FL) plugin for developing artificial intelligence systems within the Unity game engine. Its goal is to provide an intuitive and natural way to build advanced artificial intelligence systems, making the implementation of such a... | [] | Train |
44,534 | 24 | Title: Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation
Abstract: An unbiased scene graph generation (SGG) algorithm referred to as Skew Class-Balanced Re-Weighting (SCR) is proposed for considering the unbiased predicate prediction caused by the long-tailed distribution. The prior works focus mainl... | [
22819,
20940,
31575
] | Train |
44,535 | 11 | Title: Differentiable Arbitrating in Zero-sum Markov Games
Abstract: We initiate the study of how to perturb the reward in a zero-sum Markov game with two players to induce a desirable Nash equilibrium, namely arbitrating. Such a problem admits a bi-level optimization formulation. The lower level requires solving the N... | [] | Train |
44,536 | 30 | Title: Mutual Reinforcement Effects in Japanese Sentence Classification and Named Entity Recognition Tasks
Abstract: Information extraction(IE) is a crucial subfield within natural language processing. However, for the traditionally segmented approach to sentence classification and Named Entity Recognition, the intrica... | [
11024
] | Train |
44,537 | 24 | Title: Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards
Abstract: Foundation models are first pre-trained on vast unsupervised datasets and then fine-tuned on labeled data. Reinforcement learning, notably from human feedback (RLHF), can further align the network wi... | [
17153,
28674,
13700,
37252,
32263,
4111,
45074,
45848,
37152,
42786,
39464,
41514,
25772,
7085,
4658,
22201,
29755,
15809,
846,
36179,
45923,
20709,
33638,
28905,
12142,
36084,
24316,
17789
] | Train |
44,538 | 24 | Title: Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural Activity
Abstract: Understanding how external stimuli are encoded in distributed neural activity is of significant interest in clinical and basic neuroscience. To address this need, it is essential to develop analytical t... | [] | Train |
44,539 | 16 | Title: Active Learning with Contrastive Pre-training for Facial Expression Recognition
Abstract: Deep learning has played a significant role in the success of facial expression recognition (FER), thanks to large models and vast amounts of labelled data. However, obtaining labelled data requires a tremendous amount of h... | [] | Validation |
44,540 | 16 | Title: EfficientSRFace: An Efficient Network with Super-Resolution Enhancement for Accurate Face Detection
Abstract: In face detection, low-resolution faces, such as numerous small faces of a human group in a crowded scene, are common in dense face prediction tasks. They usually contain limited visual clues and make sm... | [
23360
] | Train |
44,541 | 4 | Title: Decentralized Finance (DeFi): A Survey
Abstract: Decentralized Finance (DeFi) is a new paradigm in the creation, distribution, and utilization of financial services via the integration of blockchain technology. Our research conducts a comprehensive introduction and meticulous classification of various DeFi appli... | [
43959
] | Train |
44,542 | 24 | Title: Imprecise Bayesian Neural Networks
Abstract: Uncertainty quantification and robustness to distribution shifts are important goals in machine learning and artificial intelligence. Although Bayesian Neural Networks (BNNs) allow for uncertainty in the predictions to be assessed, different sources of uncertainty are... | [
13553,
36894,
4647
] | Train |
44,543 | 16 | Title: Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-Based Multiple Instance Learning
Abstract: In many histopathology tasks, sample classification depends on morphological details in tissue or single cells that are only visible at the highest magnification. For a pathologi... | [] | Train |
44,544 | 39 | Title: Simpler and faster algorithms for detours in planar digraphs
Abstract: In the directed detour problem one is given a digraph $G$ and a pair of vertices $s$ and~$t$, and the task is to decide whether there is a directed simple path from $s$ to $t$ in $G$ whose length is larger than $\mathsf{dist}_{G}(s,t)$. The m... | [
11584,
26314,
707
] | Validation |
44,545 | 30 | Title: Inflected Forms Are Redundant in Question Generation Models
Abstract: Neural models with an encoder-decoder framework provide a feasible solution to Question Generation (QG). However, after analyzing the model vocabulary we find that current models (both RNN-based and pre-training based) have more than 23\% infl... | [] | Train |
44,546 | 16 | Title: InCrowdFormer: On-Ground Pedestrian World Model From Egocentric Views
Abstract: We introduce an on-ground Pedestrian World Model, a computational model that can predict how pedestrians move around an observer in the crowd on the ground plane, but from just the egocentric-views of the observer. Our model, InCrowd... | [] | Train |
44,547 | 32 | Title: PNet: A Python Library for Petri Net Modeling and Simulation
Abstract: Petri Net is a formalism to describe changes between 2 or more states across discrete time and has been used to model many systems. We present PNet – a pure Python library for Petri Net modeling and simulation in Python programming language. ... | [] | Test |
44,548 | 24 | Title: Achieving Stable Training of Reinforcement Learning Agents in Bimodal Environments through Batch Learning
Abstract: Bimodal, stochastic environments present a challenge to typical Reinforcement Learning problems. This problem is one that is surprisingly common in real world applications, being particularly appli... | [] | Test |
44,549 | 16 | Title: Edit Temporal-Consistent Videos with Image Diffusion Model
Abstract: Large-scale text-to-image (T2I) diffusion models have been extended for text-guided video editing, yielding impressive zero-shot video editing performance. Nonetheless, the generated videos usually show spatial irregularities and temporal incon... | [
20960,
6145,
42272,
12841,
23563
] | Test |
44,550 | 9 | Title: The Sharp Power Law of Local Search on Expanders
Abstract: Local search is a powerful heuristic in optimization and computer science, the complexity of which was studied in the white box and black box models. In the black box model, we are given a graph $G = (V,E)$ and oracle access to a function $f : V \to \mat... | [] | Test |
44,551 | 31 | Title: A Self-Correcting Sequential Recommender
Abstract: Sequential recommendations aim to capture users’ preferences from their historical interactions so as to predict the next item that they will interact with. Sequential recommendation methods usually assume that all items in a user’s historical interactions refle... | [] | Train |
44,552 | 26 | Title: BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection
Abstract: Graph anomaly detection (GAD) has gained increasing attention in recent years due to its critical application in a wide range of domains, such as social networks, financial risk management, and traffic analysis.... | [] | Train |
44,553 | 23 | Title: LmPa: Improving Decompilation by Synergy of Large Language Model and Program Analysis
Abstract: Decompilation aims to recover the source code form of a binary executable. It has many applications in security and software engineering such as malware analysis, vulnerability detection and code reuse. A prominent ch... | [
36617,
11190
] | Train |
44,554 | 10 | Title: Goal Alignment: A Human-Aware Account of Value Alignment Problem
Abstract: Value alignment problems arise in scenarios where the specified objectives of an AI agent don't match the true underlying objective of its users. The problem has been widely argued to be one of the central safety problems in AI. Unfortuna... | [] | Train |
44,555 | 4 | Title: Defending against the nothing-at-stake problem in multi-threaded blockchains
Abstract: In blockchain systems, the scarcity of a resource is used as a Sybil protection mechanism. In Proof-of-Work blockchains, that resource is computing power. In the event of a fork, the scarcity of this resource theoretically pre... | [] | Train |
44,556 | 38 | Title: Every Author as First Author
Abstract: We propose a new standard for writing author names on papers and in bibliographies, which places every author as a first author -- superimposed. This approach enables authors to write papers as true equals, without any advantage given to whoever's name happens to come first... | [] | Test |
44,557 | 24 | Title: Training Feedforward Neural Networks with Bayesian Hyper-Heuristics
Abstract: The process of training feedforward neural networks (FFNNs) can benefit from an automated process where the best heuristic to train the network is sought out automatically by means of a high-level probabilistic-based heuristic. This re... | [] | Train |
44,558 | 13 | Title: Experience-Based Evolutionary Algorithms for Expensive Optimization
Abstract: Optimization algorithms are very different from human optimizers. A human being would gain more experiences through problem-solving, which helps her/him in solving a new unseen problem. Yet an optimization algorithm never gains any exp... | [
3286
] | Validation |
44,559 | 4 | Title: Time Moves Faster When There is Nothing You Anticipate: The Role of Time in MEV Rewards
Abstract: This study explores the intricacies of waiting games, a novel dynamic that emerged with Ethereum's transition to a Proof-of-Stake (PoS)-based block proposer selection protocol. Within this PoS framework, validators ... | [
209,
14772,
37065
] | Test |
44,560 | 24 | Title: Cyclophobic Reinforcement Learning
Abstract: In environments with sparse rewards, finding a good inductive bias for exploration is crucial to the agent's success. However, there are two competing goals: novelty search and systematic exploration. While existing approaches such as curiosity-driven exploration find... | [] | Test |
44,561 | 16 | Title: TextDiffuser: Diffusion Models as Text Painters
Abstract: Diffusion models have gained increasing attention for their impressive generation abilities but currently struggle with rendering accurate and coherent text. To address this issue, we introduce TextDiffuser, focusing on generating images with visually app... | [
15811,
30243,
30503,
7915,
8210,
20306,
28532,
34074
] | Train |
44,562 | 4 | Title: P-CFT: A Privacy-preserving and Crash Fault Tolerant Consensus Algorithm for Permissioned Blockchains
Abstract: Consensus algorithms play a critical role in blockchains and directly impact their performance. During consensus processing, nodes need to validate and order the pending transactions into a new block, ... | [
11402,
14075,
1668
] | Test |
44,563 | 22 | Title: Reasoning about Choreographic Programs
Abstract: Choreographic programming is a paradigm where a concurrent or distributed system is developed in a top-down fashion. Programs, called choreographies, detail the desired interactions between processes, and can be compiled to distributed implementations based on mes... | [] | Validation |
44,564 | 22 | Title: PEak: A Single Source of Truth for Hardware Design and Verification
Abstract: Domain-specific languages for hardware can significantly enhance designer productivity, but sometimes at the cost of ease of verification. On the other hand, ISA specification languages are too static to be used during early stage desi... | [] | Train |
44,565 | 24 | Title: Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences
Abstract: Accelerated magnetic resonance imaging resorts to either Fourier-domain subsampling or better reconstruction algorithms to deal with fewer measurements while still generating medical images of high quality. Determining the optima... | [] | Test |
44,566 | 24 | Title: Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
Abstract: A compelling use case of offline reinforcement learning (RL) is to obtain a policy initialization from existing datasets followed by fast online fine-tuning with limited interaction. However, existing offline RL methods tend to... | [
15201,
4002,
44513,
31960,
1196,
11089,
16273,
30200,
16347,
7039
] | Test |
44,567 | 24 | Title: Information Geometrically Generalized Covariate Shift Adaptation
Abstract: Abstract Many machine learning methods assume that the training and test data follow the same distribution. However, in the real world, this assumption is often violated. In particular, the marginal distribution of the data changes, calle... | [] | Test |
44,568 | 26 | Title: Effective Community Search on Large Attributed Bipartite Graphs
Abstract: Community search over bipartite graphs has attracted significant interest recently. In many applications such as user-item bipartite graph in E-commerce, customer-movie bipartite graph in movie rating website, nodes tend to have attributes... | [] | Train |
44,569 | 37 | Title: Pengembangan Domain Specific Language Untuk Pengelolaan Data Warehouse
Abstract: Muhamad Taufan. 92308041 PENGEMBANGAN DOMAIN SPECIFIC LANGUAGE UNTUK PENGELOLAAN DATA WAREHOUSE. Tesis, Fakultas Pasca Sarjana, Jurusan Perangkat Lunak Sistem Informasi, Universitas Gunadarma, 2012. Kata Kunci : DSL, Retensi data, K... | [] | Train |
44,570 | 5 | Title: EnergAt: Fine-Grained Energy Attribution for Multi-Tenancy
Abstract: In the post-Moore's Law era, relying solely on hardware advancements for automatic performance gains is no longer feasible without increased energy consumption, due to the end of Dennard scaling. Consequently, computing accounts for an increasi... | [
9610
] | Train |
44,571 | 23 | Title: Do RESTful API Design Rules Have an Impact on the Understandability of Web APIs? A Web-Based Experiment with API Descriptions
Abstract: Context: Web APIs are one of the most used ways to expose application functionality on the Web, and their understandability is important for efficiently using the provided resou... | [] | Train |
44,572 | 31 | Title: Form-NLU: Dataset for the Form Natural Language Understanding
Abstract: Compared to general document analysis tasks, form document structure understanding and retrieval are challenging. Form documents are typically made by two types of authors; A form designer, who develops the form structure and keys, and a for... | [] | Test |
44,573 | 16 | Title: Multi-modal Prompting for Low-Shot Temporal Action Localization
Abstract: In this paper, we consider the problem of temporal action localization under low-shot (zero-shot&few-shot) scenario, with the goal of detecting and classifying the action instances from arbitrary categories within some untrimmed videos, ev... | [
19497,
13310,
40497
] | Train |
44,574 | 16 | Title: Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception
Abstract: Vehicle-to-everything (V2X) autonomous driving opens up a promising direction for developing a new generation of intelligent transportation systems. Collaborative perception (CP) as an essential component to achieve ... | [
1155,
21508,
25989,
17286,
21784,
10265,
37915,
1953,
43169,
22955,
27436,
31028,
21687,
7416,
36549,
1606,
10329,
19675,
34017,
15864,
35581
] | Test |
44,575 | 30 | Title: Prompt, Condition, and Generate: Classification of Unsupported Claims with In-Context Learning
Abstract: Unsupported and unfalsifiable claims we encounter in our daily lives can influence our view of the world. Characterizing, summarizing, and -- more generally -- making sense of such claims, however, can be cha... | [] | Train |
44,576 | 4 | Title: Privacy-preserving Blockchain-enabled Parametric Insurance via Remote Sensing and IoT
Abstract: Traditional Insurance, a popular approach of financial risk management, has suffered from the issues of high operational costs, opaqueness, inefficiency and a lack of trust. Recently, blockchain-enabled"parametric ins... | [
6051
] | Test |
44,577 | 10 | Title: Multi-Grained Multimodal Interaction Network for Entity Linking
Abstract: Multimodal entity linking (MEL) task, which aims at resolving ambiguous mentions to a multimodal knowledge graph, has attracted wide attention in recent years. Though large efforts have been made to explore the complementary effect among m... | [] | Train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.