Datasets:
ubowang
/
cite-llm-multi-cite-eval

Dataset card Data Studio Files
xet
 Community
arxiv_id
stringlengths
9
12
paper
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2.65k
90.8k
targets
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4
4
targets_idx
listlengths
4
4
cite_corpus_id_map
stringlengths
108
31.6k
2405.08839
<|paper_start|> Title: PromptMind Team at EHRSQL-2024: Improving Reliability of SQL Generation using Ensemble LLMs Abstract: PromptMind Team at EHRSQL-2024: Improving Reliability of SQL Generation using Ensemble LLMs: This paper presents our approach to the EHRSQL-2024 shared task, which aims to develop a reliable Text...
[ "<|reference_start|> Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning: A significant amount of the world's knowledge is stored in relational databases. However, the ability for users to retrieve facts from a database is limited due to a lack of understanding of query languag...
[ 0, 4, 5, 6 ]
{"<|cite_11|>": "arxiv-133344", "<|cite_12|>": "arxiv-173798", "<|cite_13|>": "arxiv-471954", "<|cite_1|>": "arxiv-502274", "<|cite_2|>": "arxiv-475465", "<|cite_3|>": "ss-735584", "<|cite_4|>": "ss-944738", "<|cite_6|>": "arxiv-523229", "<|cite_7|>": "arxiv-491508", "<|cite_8|>": "arxiv-498879", "<|cite_9|>": "ss-1600...
2311.15838
<|paper_start|> Title: Utilizing Explainability Techniques for Reinforcement Learning Model Assurance Abstract: Utilizing Explainability Techniques for Reinforcement Learning Model Assurance: Explainable Reinforcement Learning (XRL) can provide transparency into the decision-making process of a Deep Reinforcement Learn...
[ "<|reference_start|> Mastering the game of Go with deep neural networks and tree search: <|reference_end|>", "<|reference_start|> Magnetic control of tokamak plasmas through deep reinforcement learning: <|reference_end|>", "<|reference_start|> Terminal Adaptive Guidance for Autonomous Hypersonic Strike Weapon...
[ 0, 3, 4, 6 ]
{"<|cite_1|>": "ss-805362", "<|cite_2|>": "arxiv-54263", "<|cite_3|>": "arxiv-338526", "<|cite_4|>": "ss-737262", "<|cite_5|>": "arxiv-370952", "<|cite_6|>": "ss-972587", "<|cite_7|>": "ss-817053"}
2001.11973
<|paper_start|> Title: Unsatisfiability Proofs for Weight 16 Codewords in Lam's Problem Abstract: Unsatisfiability Proofs for Weight 16 Codewords in Lam's Problem: In the 1970s and 1980s, searches performed by L. Carter, C. Lam, L. Thiel, and S. Swiercz showed that projective planes of order ten with weight 16 codeword...
[ "<|reference_start|> The Search for a Finite Projective Plane of Order 10: When I was a graduate student looking for a thesis topic, Herbert Ryser advised me not to work on the projective plane of order 10. Even though he was extremely interested in this subject, he believed that it was too difficult and that I mig...
[ 0, 2, 6, 10 ]
{"<|cite_2|>": "ss-709493", "<|cite_5|>": "ss-758514", "<|cite_6|>": "ss-960736", "<|multi_cite_7_1|>": "ss-1587052", "<|multi_cite_7_2|>": "ss-1051487", "<|cite_8|>": "ss-758514", "<|cite_9|>": "ss-1051484", "<|cite_10|>": "arxiv-140877", "<|cite_11|>": "ss-709493", "<|multi_cite_12_2|>": "ss-2384318", "<|cite_15|>": ...
2406.15977
<|paper_start|> Title: A Bayesian framework for spectral reprojection Abstract: A Bayesian framework for spectral reprojection: Fourier partial sum approximations yield exponential accuracy for smooth and periodic functions, but produce the infamous Gibbs phenomenon for non-periodic ones. Spectral reprojection resolves...
[ "<|reference_start|> {SAR: SAR영상의 가장 큰 문제점은 경계선 부근에서 스패클(Speckle)잡음을 어떻게 줄이느냐 하는 것이다. 본 논문에서는 제안한 방법을 이용하여 경계선을 보존할 수 있는 효과적인 필터를 개발하고자 한다. 스패클 잡음을 줄이면서 에지 영역에 대한 블러링 없는 영상을 추출하기 위하여 웨이브렛 기반의 sigma 필터를 적용하였다. 실험 결과 에지정보에 대한 블러링을 줄인 출력 영상을 구성하였다. 제안한 방법을 미디언 필터와 비교한 결과, 스패클 잡음을 효과적으로 제거한 우수한 영상을 얻을 수 있었다. 【Any class...
[ 1, 4, 8, 11 ]
{"<|multi_cite_1_1|>": "ss-1369515", "<|multi_cite_1_3|>": "ss-1263914", "<|multi_cite_1_4|>": "ss-802764", "<|multi_cite_1_5|>": "ss-1369516", "<|multi_cite_2_1|>": "ss-714880", "<|multi_cite_2_2|>": "ss-1263914", "<|multi_cite_2_3|>": "ss-840165", "<|multi_cite_2_4|>": "ss-1369517", "<|multi_cite_4_1|>": "ss-1369515"...
1705.07051
<|paper_start|> Title: Speeding up Memory-based Collaborative Filtering with Landmarks Abstract: Speeding up Memory-based Collaborative Filtering with Landmarks: Recommender systems play an important role in many scenarios where users are overwhelmed with too many choices to make. In this context, Collaborative Filteri...
[ "<|reference_start|> Fast embedding of sparse music similarity graphs: This paper applies fast sparse multidimensional scaling (MDS) to a large graph of music similarity, with 267K vertices that represent artists, albums, and tracks; and 3.22M edges that represent similarity between those entities. Once vertices ar...
[ 25, 29, 33, 38 ]
{"<|cite_1|>": "ss-1704554", "<|cite_3|>": "ss-692526", "<|cite_4|>": "ss-1230149", "<|cite_5|>": "ss-1262630", "<|cite_6|>": "ss-678252", "<|cite_8|>": "ss-1051886", "<|cite_10|>": "ss-1230149", "<|cite_11|>": "ss-1704555", "<|cite_12|>": "ss-1148490", "<|cite_13|>": "ss-1266104", "<|cite_14|>": "ss-1266104", "<|cite_...
2209.13822
<|paper_start|> Title: TokenFlow: Rethinking Fine-grained Cross-modal Alignment in Vision-Language Retrieval Abstract: TokenFlow: Rethinking Fine-grained Cross-modal Alignment in Vision-Language Retrieval: Most existing methods in vision-language retrieval match two modalities by either comparing their global feature v...
[ "<|reference_start|> Large-Scale Adversarial Training for Vision-and-Language Representation Learning: We present VILLA, the first known effort on large-scale adversarial training for vision-and-language (V+L) representation learning. VILLA consists of two training stages: (i) task-agnostic adversarial pre-training...
[ 4, 20, 23, 28 ]
{"<|multi_cite_1_1|>": "arxiv-168581", "<|multi_cite_1_2|>": "arxiv-331663", "<|multi_cite_1_3|>": "arxiv-335405", "<|multi_cite_2_1|>": "arxiv-259146", "<|multi_cite_2_2|>": "arxiv-270990", "<|multi_cite_2_3|>": "arxiv-225610", "<|multi_cite_3_1|>": "arxiv-355417", "<|multi_cite_3_2|>": "arxiv-319372", "<|multi_cite_4...
1311.6647
<|paper_start|> Title: DoF Analysis of the K-user MISO Broadcast Channel with Alternating CSIT Abstract: DoF Analysis of the K-user MISO Broadcast Channel with Alternating CSIT: We consider a $K$-user multiple-input single-output (MISO) broadcast channel (BC) where the channel state information (CSI) of user $i(i=1,2,\...
[ "<|reference_start|> Degrees of Freedom of Time Correlated MISO Broadcast Channel with Delayed CSIT: We consider the time correlated multiple-input single-output (MISO) broadcast channel where the transmitter has imperfect knowledge on the current channel state, in addition to delayed channel state information. By ...
[ 1, 3, 7, 8 ]
{"<|cite_2|>": "arxiv-16539", "<|cite_3|>": "arxiv-29681", "<|cite_4|>": "ss-1436014", "<|cite_5|>": "arxiv-31840", "<|cite_6|>": "arxiv-40084", "<|cite_7|>": "arxiv-42269", "<|cite_8|>": "arxiv-51931", "<|cite_10|>": "ss-1436013", "<|cite_11|>": "ss-1436013", "<|cite_12|>": "arxiv-51931", "<|cite_13|>": "ss-1518833", ...
1712.09708-1
<|cite_start|> (Reference: The developing visual brain: 1. Background context 2. Paediatric vision testing 3. Models of visual development 4. Newborn vision 5. Development optics - refraction and focusing or accommodation 6. Functional onset of specific cortical modules 7. Development of integration ('binding') and se...
[ "<|reference_start|> Supervised Learning of Universal Sentence Representations from Natural Language Inference Data: Many modern NLP systems rely on word embeddings, previously trained in an unsupervised manner on large corpora, as base features. Efforts to obtain embeddings for larger chunks of text, such as sente...
[ 3, 5, 9, 10 ]
{"<|cite_1|>": "ss-972908", "<|multi_cite_2_1|>": "ss-1016684", "<|multi_cite_2_2|>": "ss-972909", "<|multi_cite_3_1|>": "ss-773172", "<|multi_cite_3_2|>": "arxiv-124825", "<|multi_cite_3_3|>": "arxiv-152969", "<|multi_cite_4_1|>": "ss-773172", "<|multi_cite_4_2|>": "arxiv-124825", "<|multi_cite_4_3|>": "arxiv-152969",...
1902.02823
<|paper_start|> Title: Compatible Natural Gradient Policy Search Abstract: Compatible Natural Gradient Policy Search: Trust-region methods have yielded state-of-the-art results in policy search. A common approach is to use KL-divergence to bound the region of trust resulting in a natural gradient policy update. We show...
[ "<|reference_start|> Trust Region Policy Optimization: We describe an iterative procedure for optimizing policies, with guaranteed monotonic improvement. By making several approximations to the theoretically-justified procedure, we develop a practical algorithm, called Trust Region Policy Optimization (TRPO). This ...
[ 7, 8, 12, 23 ]
{"<|cite_1|>": "ss-690072", "<|multi_cite_2_1|>": "ss-1516973", "<|multi_cite_2_2|>": "ss-1340510", "<|multi_cite_2_3|>": "ss-1918357", "<|multi_cite_2_4|>": "ss-1876906", "<|cite_3|>": "arxiv-22418", "<|multi_cite_4_1|>": "ss-688163", "<|multi_cite_4_2|>": "arxiv-73321", "<|cite_5|>": "ss-767671", "<|cite_6|>": "ss-74...
2309.04862
<|paper_start|> Title: Distributional Data Augmentation Methods for Low Resource Language Abstract: Distributional Data Augmentation Methods for Low Resource Language: Text augmentation is a technique for constructing synthetic data from an under-resourced corpus to improve predictive performance. Synthetic data genera...
[ "<|reference_start|> Text Data Augmentation for Deep Learning: <|reference_end|>", "<|reference_start|> Conditional BERT Contextual Augmentation: We propose a novel data augmentation method for labeled sentences called conditional BERT contextual augmentation. Data augmentation methods are often applied to preve...
[ 0, 6, 12, 13 ]
{"<|cite_1|>": "ss-1202156", "<|cite_2|>": "arxiv-353520", "<|cite_3|>": "arxiv-353520", "<|cite_4|>": "arxiv-381845", "<|multi_cite_5_1|>": "arxiv-143449", "<|multi_cite_5_2|>": "ss-1534242", "<|multi_cite_6_1|>": "arxiv-184758", "<|multi_cite_6_2|>": "ss-1295153", "<|multi_cite_6_3|>": "arxiv-227744", "<|cite_7|>": "...
2001.03346
<|paper_start|> Title: Time-Varying Graph Learning with Constraints on Graph Temporal Variation Abstract: Time-Varying Graph Learning with Constraints on Graph Temporal Variation: We propose a novel framework for learning time-varying graphs from spatiotemporal measurements. Given an appropriate prior on the temporal b...
[ "<|reference_start|> Graph Learning From Data Under Laplacian and Structural Constraints: Graphs are fundamental mathematical structures used in various fields to represent data, signals, and processes. In this paper, we propose a novel framework for learning/estimating graphs from data. The proposed framework incl...
[ 17, 20, 26, 37 ]
{"<|multi_cite_1_1|>": "arxiv-77200", "<|multi_cite_1_2|>": "ss-1274564", "<|cite_2|>": "ss-2241759", "<|cite_3|>": "ss-1644167", "<|multi_cite_4_1|>": "arxiv-81762", "<|multi_cite_4_2|>": "ss-1663713", "<|multi_cite_4_3|>": "ss-1170573", "<|multi_cite_5_1|>": "arxiv-42955", "<|multi_cite_5_2|>": "ss-918091", "<|multi_...
1502.05928-1
, and~(\ref{eq:loss2}) converts to \begin{equation}\label{eq:lasso} L(\mathbf{X},\mathbf{D},\mathbf{A})=\min_{\mathbf{D},\mathbf{A}}\sum_{i=1}^{n}\begin{pmatrix}\frac{1}{2}\|\mathbf{x}_i-\mathbf{D}\bm{\alpha}_i\|_{2}^{2}+\lambda\|\bm{\alpha}_i\|_{1}\end{pmatrix}, \end{equation} where $\mathbf{x}_i$ is the $i^{\textup{t...
[ "<|reference_start|> Online dictionary learning for sparse coding: Sparse coding---that is, modelling data vectors as sparse linear combinations of basis elements---is widely used in machine learning, neuroscience, signal processing, and statistics. This paper focuses on learning the basis set, also called dictiona...
[ 1, 2, 3, 4 ]
{"<|cite_1|>": "ss-1317763", "<|multi_cite_2_1|>": "ss-1378478", "<|multi_cite_2_2|>": "ss-792684", "<|cite_3|>": "ss-2094762", "<|multi_cite_4_1|>": "ss-792685", "<|multi_cite_4_2|>": "ss-772163", "<|multi_cite_4_3|>": "ss-1372620", "<|cite_5|>": "ss-1014574", "<|cite_6|>": "ss-844467", "<|cite_7|>": "ss-1254879", "<|...
2406.10514
<|paper_start|> Title: GTR-Voice: Articulatory Phonetics Informed Controllable Expressive Speech Synthesis Abstract: GTR-Voice: Articulatory Phonetics Informed Controllable Expressive Speech Synthesis: Expressive speech synthesis aims to generate speech that captures a wide range of para-linguistic features, including ...
[ "<|reference_start|> EmoDiff: Intensity Controllable Emotional Text-to-Speech with Soft-Label Guidance: Although current neural text-to-speech (TTS) models are able to generate high-quality speech, intensity controllable emotional TTS is still a challenging task. Most existing methods need external optimizations fo...
[ 5, 9, 14, 15 ]
{"<|multi_cite_1_1|>": "arxiv-351874", "<|multi_cite_1_2|>": "ss-730060", "<|multi_cite_1_3|>": "arxiv-228766", "<|multi_cite_2_1|>": "ss-1160092", "<|multi_cite_2_2|>": "arxiv-448483", "<|multi_cite_3_1|>": "arxiv-462856", "<|multi_cite_3_3|>": "arxiv-485742", "<|multi_cite_4_1|>": "ss-832115", "<|multi_cite_4_2|>": "...
1803.01833
<|paper_start|> Title: Marginal Singularity, and the Benefits of Labels in Covariate-Shift Abstract: Marginal Singularity, and the Benefits of Labels in Covariate-Shift: We present new minimax results that concisely capture the relative benefits of source and target labeled data, under covariate-shift. Namely, we show ...
[ "<|reference_start|> New Analysis and Algorithm for Learning with Drifting Distributions: We present a new analysis of the problem of learning with drifting distributions in the batch setting using the notion of discrepancy. We prove learning bounds based on the Rademacher complexity of the hypothesis set and the d...
[ 4, 5, 8, 12 ]
{"<|multi_cite_4_1|>": "ss-955420", "<|multi_cite_4_2|>": "ss-773085", "<|multi_cite_4_3|>": "ss-781936", "<|multi_cite_5_1|>": "arxiv-6472", "<|multi_cite_5_2|>": "arxiv-31944", "<|multi_cite_5_3|>": "ss-1511163", "<|multi_cite_6_1|>": "ss-826812", "<|multi_cite_6_2|>": "ss-1262575", "<|cite_1|>": "ss-911621", "<|mult...
2306.12152-0
<|paper_start|> Title: Exploiting Multimodal Synthetic Data for Egocentric Human-Object Interaction Detection in an Industrial Scenario Abstract: Exploiting Multimodal Synthetic Data for Egocentric Human-Object Interaction Detection in an Industrial Scenario: In this paper, we tackle the problem of Egocentric Human-Obj...
[ "<|reference_start|> Understanding Human Hands in Contact at Internet Scale: Hands are the central means by which humans manipulate their world and being able to reliably extract hand state information from Internet videos of humans engaged in their hands has the potential to pave the way to systems that can learn ...
[ 10, 17, 18, 45 ]
{"<|multi_cite_1_1|>": "ss-779186", "<|multi_cite_1_2|>": "arxiv-154179", "<|multi_cite_1_3|>": "arxiv-373949", "<|cite_2|>": "ss-1658979", "<|multi_cite_3_1|>": "arxiv-408836", "<|multi_cite_3_2|>": "ss-726498", "<|multi_cite_4_1|>": "arxiv-122453", "<|multi_cite_4_2|>": "arxiv-241379", "<|multi_cite_5_1|>": "arxiv-40...
2311.05624
<|paper_start|> Title: NP-hard problems are not in BQP Abstract: NP-hard problems are not in BQP: Grover's algorithm can solve NP-complete problems on quantum computers faster than all the known algorithms on classical computers. However, Grover's algorithm still needs exponential time. Due to the BBBV theorem, Grover'...
[ "<|reference_start|> {A fast quantum mechanical algorithm for database search: were proposed in the early 1980’s [Benioff80] and shown to be at least as powerful as classical computers an important but not surprising result, since classical computers, at the deepest level, ultimately follow the laws of quantum mech...
[ 0, 1, 2, 3 ]
{"<|cite_1|>": "ss-679651", "<|cite_2|>": "ss-2279748", "<|cite_3|>": "arxiv-677316", "<|cite_4|>": "ss-1366315"}
2210.05159
<|paper_start|> Title: Can Language Models Be Specific? How? Abstract: Can Language Models Be Specific? How?: "He is a person", "Paris is located on the earth". Both statements are correct but meaningless - due to lack of specificity. In this paper, we propose to measure how specific the language of pre-trained languag...
[ "<|reference_start|> UnifiedQA: Crossing Format Boundaries With a Single QA System: Question answering (QA) tasks have been posed using a variety of formats, such as extractive span selection, multiple choice, etc. This has led to format-specialized models, and even to an implicit division in the QA community. We a...
[ 14, 20, 22, 23 ]
{"<|cite_1|>": "arxiv-175879", "<|multi_cite_2_1|>": "ss-1237666", "<|multi_cite_2_2|>": "ss-832115", "<|multi_cite_3_1|>": "arxiv-221588", "<|multi_cite_3_2|>": "arxiv-249483", "<|multi_cite_3_3|>": "arxiv-295823", "<|multi_cite_3_4|>": "arxiv-236700", "<|multi_cite_3_5|>": "arxiv-298458", "<|multi_cite_4_1|>": "arxiv...
2405.14899-1
<|cite_start|> (Reference: Studying Large Language Model Generalization with Influence Functions: When trying to gain better visibility into a machine learning model in order to understand and mitigate the associated risks, a potentially valuable source of evidence is: which training examples most contribute to a give...
[ "<|reference_start|> LESS: Selecting Influential Data for Targeted Instruction Tuning: Instruction tuning has unlocked powerful capabilities in large language models (LLMs), effectively using combined datasets to develop generalpurpose chatbots. However, real-world applications often require a specialized suite of ...
[ 2, 3, 4, 5 ]
{"<|multi_cite_1_1|>": "arxiv-361235", "<|multi_cite_1_2|>": "ss-832115", "<|multi_cite_1_3|>": "arxiv-411079", "<|cite_2|>": "ss-832115", "<|multi_cite_3_1|>": "ss-809544", "<|multi_cite_3_2|>": "arxiv-582884", "<|multi_cite_4_1|>": "arxiv-395344", "<|multi_cite_4_2|>": "ss-1860033", "<|cite_5|>": "ss-832115", "<|mult...
2011.00596
<|paper_start|> Title: Bracketing Encodings for 2-Planar Dependency Parsing Abstract: Bracketing Encodings for 2-Planar Dependency Parsing: We present a bracketing-based encoding that can be used to represent any 2-planar dependency tree over a sentence of length n as a sequence of n labels, hence providing almost tota...
[ "<|reference_start|> Grammar as a Foreign Language: Syntactic constituency parsing is a fundamental problem in natural language processing and has been the subject of intensive research and engineering for decades. As a result, the most accurate parsers are domain specific, complex, and inefficient. In this paper w...
[ 0, 8, 12, 13 ]
{"<|multi_cite_1_1|>": "arxiv-70752", "<|multi_cite_1_2|>": "ss-1181983", "<|multi_cite_2_1|>": "arxiv-177019", "<|multi_cite_2_2|>": "arxiv-193197", "<|cite_3|>": "arxiv-200968", "<|cite_4|>": "arxiv-212608", "<|cite_5|>": "arxiv-246513", "<|multi_cite_6_1|>": "ss-1297601", "<|multi_cite_6_2|>": "arxiv-170440", "<|mul...
2304.06862
<|paper_start|> Title: The Longest Subsequence-Repeated Subsequence Problem Abstract: The Longest Subsequence-Repeated Subsequence Problem: 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 ...
[ "<|reference_start|> Integrated Genomic Analyses of Ovarian Carcinoma: <|reference_end|>", "<|reference_start|> The Tandem Duplication Distance is NP-hard: In computational biology, tandem duplication is an important biological phenomenon which can occur either at the genome or at the DNA level. A tandem duplica...
[ 6, 11, 16, 18 ]
{"<|cite_1|>": "ss-2083622", "<|cite_2|>": "arxiv-72507", "<|cite_3|>": "arxiv-846", "<|cite_4|>": "arxiv-268515", "<|cite_5|>": "ss-2491461", "<|multi_cite_6_1|>": "ss-1940852", "<|multi_cite_6_2|>": "ss-2491462", "<|multi_cite_6_3|>": "ss-2491463", "<|cite_7|>": "ss-2491464", "<|cite_8|>": "ss-2491465", "<|cite_9|>":...
2004.04000
<|paper_start|> Title: Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game Abstract: Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game: Learning how to adapt to complex and dynamic environments is one of the most important factors...
[ "<|reference_start|> Playing Atari with Deep Reinforcement Learning: We present the first deep learning model to successfully learn control policies directly from high-dimensional sensory input using reinforcement learning. The model is a convolutional neural network, trained with a variant of Q-learning, whose inp...
[ 0, 7, 12, 17 ]
{"<|cite_1|>": "arxiv-54263", "<|multi_cite_2_1|>": "arxiv-121204", "<|multi_cite_2_2|>": "arxiv-123136", "<|multi_cite_3_1|>": "arxiv-250574", "<|multi_cite_3_2|>": "ss-1207827", "<|multi_cite_4_1|>": "ss-894077", "<|multi_cite_4_2|>": "ss-1950952", "<|cite_5|>": "arxiv-144980", "<|cite_6|>": "ss-1950953", "<|cite_7|>...
2010.08139
<|paper_start|> Title: A non-intrusive data-driven ROM framework for hemodynamics problems Abstract: A non-intrusive data-driven ROM framework for hemodynamics problems: Reduced order modeling (ROM) techniques are numerical methods that approximate the solution of parametric partial differential equation (PDE) by prope...
[ "<|reference_start|> {Model Order Reduction: 報告番号: ; 学位授与年月日: 2012-03-22 ; 学位の種別: 修士 ; 学位の種類: 修士(環境学) ; 学位記番号: 修創域第4421号 ; 研究科・専攻: 新領域創成科学研究科環境学研究系人間環境学専攻 <|reference_end|>", "<|reference_start|> Non-intrusive PODI-ROM for patient-specific aortic blood flow in presence of a LVAD device: Left ventricular assist de...
[ 0, 7, 12, 13 ]
{"<|cite_1|>": "ss-1319884", "<|cite_2|>": "ss-1966724", "<|cite_3|>": "ss-1679608", "<|multi_cite_4_1|>": "ss-1657341", "<|multi_cite_4_2|>": "ss-1259585", "<|multi_cite_4_3|>": "ss-1260381", "<|multi_cite_4_4|>": "ss-1979137", "<|multi_cite_4_5|>": "arxiv-276911", "<|multi_cite_7_2|>": "ss-1679589", "<|multi_cite_7_3...
2205.13125-0
<|paper_start|> Title: Prompt-based Learning for Unpaired Image Captioning Abstract: Prompt-based Learning for Unpaired Image Captioning: Unpaired Image Captioning (UIC) has been developed to learn image descriptions from unaligned vision-language sample pairs. Existing works usually tackle this task using adversarial ...
[ "<|reference_start|> Unpaired Image Captioning with Semantic-Constrained Self-Learning: Image captioning has been an emerging and fast-developing research topic. Nevertheless, most existing works heavily rely on large amounts of image-sentence pairs and therefore hinder the practical applications of captioning in t...
[ 13, 27, 34, 35 ]
{"<|multi_cite_1_1|>": "arxiv-279901", "<|multi_cite_1_2|>": "ss-915290", "<|multi_cite_1_3|>": "ss-898287", "<|multi_cite_2_1|>": "arxiv-68898", "<|multi_cite_2_2|>": "arxiv-106294", "<|multi_cite_3_1|>": "arxiv-111063", "<|multi_cite_3_2|>": "ss-982814", "<|multi_cite_4_1|>": "ss-1508480", "<|multi_cite_4_2|>": "arxi...
1107.3729
<|paper_start|> Title: On the approximation in the smoothed finite element method (SFEM) Abstract: On the approximation in the smoothed finite element method (SFEM): This letter aims at resolving the issues raised in the recent short communication [1] and answered by [2] by proposing a systematic approximation scheme b...
[ "<|reference_start|> Smooth finite element methods: Convergence, accuracy and properties: A stabilized conforming nodal integration finite element method based on strain smoothing stabilization is presented. The integration of the stiffness matrix is performed on the boundaries of the finite elements. A rigorous va...
[ 3, 6, 9, 14 ]
{"<|cite_2|>": "ss-1128754", "<|cite_3|>": "ss-1128755", "<|multi_cite_4_1|>": "ss-1128756", "<|multi_cite_4_2|>": "ss-1128757", "<|cite_5|>": "ss-1128758", "<|cite_7|>": "ss-1128755", "<|multi_cite_10_1|>": "ss-1128759", "<|multi_cite_10_4|>": "ss-1128757", "<|multi_cite_10_5|>": "ss-1128758", "<|multi_cite_11_2|>": "...
2312.10082
<|paper_start|> Title: Finding Paths for Explainable MOOC Recommendation: A Learner Perspective Abstract: Finding Paths for Explainable MOOC Recommendation: A Learner Perspective: The increasing availability of Massive Open Online Courses (MOOCs) has created a necessity for personalized course recommendation systems. T...
[ "<|reference_start|> FLAME: A probabilistic model combining aspect based opinion mining and collaborative filtering: Aspect-based opinion mining from online reviews has attracted a lot of attention recently. Given a set of reviews, the main task of aspect-based opinion mining is to extract major aspects of the item...
[ 5, 10, 11, 23 ]
{"<|cite_1|>": "ss-2070367", "<|cite_2|>": "ss-884685", "<|cite_3|>": "ss-884685", "<|cite_4|>": "ss-1413018", "<|cite_5|>": "ss-1271405", "<|multi_cite_6_2|>": "ss-1003714", "<|cite_7|>": "arxiv-137674", "<|cite_8|>": "arxiv-126595", "<|cite_9|>": "ss-1958039", "<|multi_cite_10_1|>": "ss-742396", "<|multi_cite_10_2|>"...
2401.12508-0
<|paper_start|> Title: On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization Abstract: On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization: We consider a regularized expected reward optimization problem in the no...
[ "<|reference_start|> PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation: Despite their success, policy gradient methods suffer from high variance of the gradient estimate, which can result in unsatisfactory sample complexity. Recently, numerous variance-red...
[ 37, 46, 47, 48 ]
{"<|cite_1|>": "ss-737863", "<|multi_cite_2_1|>": "ss-1284668", "<|multi_cite_2_2|>": "ss-2315934", "<|multi_cite_2_3|>": "arxiv-54263", "<|multi_cite_3_1|>": "ss-1262651", "<|multi_cite_3_2|>": "ss-750037", "<|multi_cite_3_3|>": "ss-809961", "<|cite_4|>": "ss-737863", "<|multi_cite_5_1|>": "arxiv-111378", "<|multi_cit...
2208.06072
<|paper_start|> Title: Multiple RISs Assisted Cell-Free Networks With Two-timescale CSI: Performance Analysis and System Design Abstract: Multiple RISs Assisted Cell-Free Networks With Two-timescale CSI: Performance Analysis and System Design: Reconfigurable intelligent surface (RIS) can be employed in a cell-free syst...
[ "<|reference_start|> Precoding and power optimization in cell-free massive mimo systems: Cell-free Massive multiple-input multiple-output (MIMO) comprises a large number of distributed low-cost low-power single antenna access points (APs) connected to a network controller. The number of AP antennas is significantly...
[ 0, 1, 26, 28 ]
{"<|multi_cite_1_1|>": "ss-684990", "<|multi_cite_1_2|>": "arxiv-92967", "<|multi_cite_1_3|>": "arxiv-221572", "<|cite_2|>": "ss-1177301", "<|cite_3|>": "arxiv-279583", "<|multi_cite_4_1|>": "arxiv-208582", "<|multi_cite_4_2|>": "arxiv-176441", "<|multi_cite_5_1|>": "ss-989720", "<|multi_cite_5_2|>": "arxiv-289694", "<...
2307.16535
<|paper_start|> Title: Introducing and Interfacing with Cybersecurity -- A Cards Approach Abstract: Introducing and Interfacing with Cybersecurity -- A Cards Approach: Cybersecurity is an important topic which is often viewed as one that is inaccessible due to steep learning curves and a perceived requirement of needin...
[ "<|reference_start|> Stack Overflow Considered Harmful? The Impact of Copy&Paste on Android Application Security: Online programming discussion platforms such as Stack Overflow serve as a rich source of information for software developers. Available information include vibrant discussions and oftentimes ready-to-us...
[ 10, 14, 17, 25 ]
{"<|multi_cite_1_1|>": "ss-1836381", "<|multi_cite_1_2|>": "ss-1836382", "<|cite_2|>": "ss-1230091", "<|multi_cite_3_1|>": "ss-1836383", "<|multi_cite_3_3|>": "ss-951820", "<|cite_4|>": "ss-858853", "<|cite_5|>": "ss-1420345", "<|multi_cite_6_2|>": "ss-1222315", "<|multi_cite_11_2|>": "ss-1836384", "<|multi_cite_11_3|>...
2311.09879-0
<|paper_start|> Title: Cross-Layer Optimization for Statistical QoS Provision in C-RAN with Finite-Length Coding Abstract: Cross-Layer Optimization for Statistical QoS Provision in C-RAN with Finite-Length Coding: The cloud radio access network (C-RAN) has become the foundational structure for various emerging communic...
[ "<|reference_start|> A survey of 5G technologies: regulatory, standardization and industrial perspectives: <|reference_end|>", "<|reference_start|> Systematic resource allocation in cloud RAN with caching as a service under two timescales: Recently, cloud radio access network (C-RAN) with caching as a service (C...
[ 0, 32, 34, 41 ]
{"<|cite_1|>": "ss-707874", "<|cite_2|>": "ss-1275217", "<|cite_3|>": "ss-1332644", "<|cite_4|>": "arxiv-337808", "<|multi_cite_5_1|>": "ss-956304", "<|multi_cite_5_2|>": "arxiv-74445", "<|multi_cite_6_1|>": "ss-2441234", "<|multi_cite_6_2|>": "ss-2511335", "<|multi_cite_6_3|>": "ss-1728877", "<|cite_7|>": "arxiv-74445...
2111.10452
<|paper_start|> Title: MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data Abstract: MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data: A major challenge in embedding or visualizing clinical patient data is the heterogeneity of variable types inclu...
[ "<|reference_start|> Visualizing structure and transitions in high-dimensional biological data: <|reference_end|>", "<|reference_start|> {Introduction to manifold learning: A popular research area today in statistics and machine learning is that of manifold learning, which is related to the algorithmic technique...
[ 7, 14, 18, 34 ]
{"<|multi_cite_1_1|>": "ss-1329449", "<|multi_cite_1_2|>": "ss-2249634", "<|multi_cite_1_3|>": "ss-1329450", "<|cite_3|>": "arxiv-147803", "<|cite_4|>": "ss-1935736", "<|cite_5|>": "ss-1657781", "<|cite_6|>": "ss-714841", "<|multi_cite_7_2|>": "ss-1657781", "<|multi_cite_7_3|>": "arxiv-147803", "<|multi_cite_7_4|>": "s...
2307.12348-1
<|cite_start|> (Reference: DifFace: Blind Face Restoration with Diffused Error Contraction: While deep learning-based methods for blind face restoration have achieved unprecedented success, they still suffer from two major limitations. First, most of them deteriorate when facing complex degradations out of their train...
[ "<|reference_start|> DifFace: Blind Face Restoration with Diffused Error Contraction: While deep learning-based methods for blind face restoration have achieved unprecedented success, they still suffer from two major limitations. First, most of them deteriorate when facing complex degradations out of their training...
[ 0, 1, 5, 7 ]
{"<|multi_cite_1_1|>": "arxiv-74487", "<|multi_cite_1_2|>": "arxiv-273164", "<|cite_2|>": "arxiv-340336", "<|multi_cite_3_1|>": "arxiv-358665", "<|multi_cite_3_2|>": "arxiv-383950", "<|multi_cite_4_1|>": "arxiv-394473", "<|multi_cite_4_2|>": "arxiv-386478", "<|multi_cite_5_1|>": "arxiv-306081", "<|multi_cite_5_2|>": "a...
1602.02215
<|paper_start|> Title: Swivel: Improving Embeddings by Noticing What's Missing Abstract: Swivel: Improving Embeddings by Noticing What's Missing: We present Submatrix-wise Vector Embedding Learner (Swivel), a method for generating low-dimensional feature embeddings from a feature co-occurrence matrix. Swivel performs a...
[ "<|reference_start|> Efficient Estimation of Word Representations in Vector Space: We propose two novel model architectures for computing continuous vector representations of words from very large data sets. The quality of these representations is measured in a word similarity task, and the results are compared to ...
[ 0, 2, 3, 9 ]
{"<|cite_4|>": "arxiv-40388", "<|cite_5|>": "ss-973099", "<|cite_1|>": "arxiv-40388", "<|cite_2|>": "ss-806920", "<|cite_6|>": "arxiv-40388", "<|cite_7|>": "ss-680861", "<|cite_11|>": "ss-806920", "<|cite_9|>": "ss-806920", "<|cite_12|>": "ss-680861", "<|cite_10|>": "ss-680861", "<|cite_3|>": "ss-1273598", "<|cite_8|>"...
2408.07632
<|paper_start|> Title: On linear quadratic regulator for the heat equation with general boundary conditions Abstract: On linear quadratic regulator for the heat equation with general boundary conditions: We consider the linear quadratic regulator of the heat equation on a finite interval. Previous frequency-domain meth...
[ "<|reference_start|> {Distributed Control Design for Spatially Interconnected Systems: This paper deals with analysis, synthesis, and implementation of distributed controllers, designed for spatially interconnected systems. We develop a state space framework for posing problems of this type, and focus on systems wh...
[ 1, 2, 6, 7 ]
{"<|cite_1|>": "ss-1354406", "<|multi_cite_2_1|>": "ss-1354414", "<|multi_cite_2_2|>": "ss-1287144", "<|cite_3|>": "ss-1067070", "<|multi_cite_4_1|>": "ss-1354408", "<|multi_cite_4_2|>": "ss-2443955", "<|cite_5|>": "arxiv-630610", "<|multi_cite_6_1|>": "ss-2338184", "<|multi_cite_6_2|>": "ss-2032328", "<|multi_cite_6_4...
2003.12060-1
<|cite_start|> (Reference: ArcFace: Additive Angular Margin Loss for Deep Face Recognition: Recently, a popular line of research in face recognition is adopting margins in the well-established softmax loss function to maximize class separability. In this paper, we first introduce an Additive Angular Margin Loss (ArcFa...
[ "<|reference_start|> CosFace: Large Margin Cosine Loss for Deep Face Recognition: Face recognition has made extraordinary progress owing to the advancement of deep convolutional neural networks (CNNs). The central task of face recognition, including face verification and identification, involves face feature discri...
[ 2, 3, 5, 6 ]
{"<|multi_cite_1_1|>": "ss-690198", "<|multi_cite_1_2|>": "arxiv-65675", "<|multi_cite_1_3|>": "arxiv-88870", "<|multi_cite_1_4|>": "arxiv-78819", "<|multi_cite_1_5|>": "arxiv-119391", "<|multi_cite_1_6|>": "arxiv-124751", "<|multi_cite_2_1|>": "arxiv-198952", "<|multi_cite_2_2|>": "arxiv-198760", "<|multi_cite_2_3|>":...
2006.12940
<|paper_start|> Title: Particle Swarm Optimization for Energy Disaggregation in Industrial and Commercial Buildings Abstract: Particle Swarm Optimization for Energy Disaggregation in Industrial and Commercial Buildings: This paper provides a formalization of the energy disaggregation problem for particle swarm optimiza...
[ "<|reference_start|> Disaggregation of home energy display data using probabilistic approach: Home energy displays are emerging home energy management devices. However, their energy savings potential is limited, because most display whole-home electricity consumption data. We propose a new approach to disaggregatio...
[ 6, 11, 15, 21 ]
{"<|cite_1|>": "ss-1396176", "<|multi_cite_2_1|>": "ss-1304289", "<|multi_cite_2_2|>": "ss-1362891", "<|cite_3|>": "ss-1830988", "<|cite_4|>": "ss-947937", "<|multi_cite_5_1|>": "ss-2189487", "<|multi_cite_5_2|>": "ss-1680736", "<|cite_6|>": "ss-1627726", "<|cite_7|>": "ss-1907613", "<|multi_cite_8_1|>": "ss-780753", "...
2210.09539
<|paper_start|> Title: Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving Abstract: Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving: We demonstrate the first large-scale application of model-based generative adversarial imitation learning (MGAIL) to the task of...
[ "<|reference_start|> Goal-conditioned Imitation Learning: Designing rewards for Reinforcement Learning (RL) is challenging because it needs to convey the desired task, be efficient to optimize, and be easy to compute. The latter is particularly problematic when applying RL to robotics, where detecting whether the d...
[ 10, 18, 32, 46 ]
{"<|cite_1|>": "arxiv-337513", "<|multi_cite_2_2|>": "arxiv-96666", "<|multi_cite_2_3|>": "arxiv-183712", "<|cite_3|>": "arxiv-17086", "<|cite_4|>": "arxiv-263399", "<|cite_5|>": "ss-1364533", "<|cite_6|>": "arxiv-325347", "<|cite_7|>": "arxiv-417873", "<|cite_8|>": "arxiv-293494", "<|multi_cite_9_1|>": "ss-1514101", "...
1711.08362
<|paper_start|> Title: RGB-D-based Human Motion Recognition with Deep Learning: A Survey Abstract: RGB-D-based Human Motion Recognition with Deep Learning: A Survey: Human motion recognition is one of the most important branches of human-centered research activities. In recent years, motion recognition based on RGB-D d...
[ "<|reference_start|> Space-Time Representation of People Based on 3D Skeletal Data: A Review: Spatiotemporal human representation based on 3D visual perception data is a rapidly growing research area. Based on the information sources, these representations can be broadly categorized into two groups based on RGB-D i...
[ 16, 23, 24, 31 ]
{"<|multi_cite_1_1|>": "ss-2157676", "<|multi_cite_1_2|>": "ss-2431023", "<|multi_cite_1_3|>": "ss-1093078", "<|multi_cite_1_4|>": "ss-1387363", "<|multi_cite_1_5|>": "ss-1178336", "<|multi_cite_1_6|>": "ss-1178341", "<|multi_cite_2_1|>": "arxiv-98053", "<|multi_cite_2_2|>": "ss-1270085", "<|cite_3|>": "ss-1114755", "<...
1111.2948
<|paper_start|> Title: Using Contextual Information as Virtual Items on Top-N Recommender Systems Abstract: Using Contextual Information as Virtual Items on Top-N Recommender Systems: Traditionally, recommender systems for the Web deal with applications that have two dimensions, users and items. Based on access logs th...
[ "<|reference_start|> Personalization in context: Does context matter when building personalized customer models?: The idea that context is important when predicting customer behavior has been maintained by scholars in marketing and data mining. However, no systematic study measuring how much the contextual informat...
[ 2, 3, 6, 8 ]
{"<|cite_1|>": "ss-1043973", "<|cite_2|>": "ss-1208397", "<|cite_3|>": "ss-1491600", "<|cite_4|>": "ss-1253545", "<|cite_5|>": "ss-1208397", "<|multi_cite_6_1|>": "ss-1253545", "<|multi_cite_6_2|>": "ss-1208397", "<|multi_cite_7_1|>": "ss-1253545", "<|multi_cite_7_2|>": "ss-1208397"}
2003.13481
<|paper_start|> Title: Concept-aware Geographic Information Retrieval Abstract: Concept-aware Geographic Information Retrieval: Textual queries are largely employed in information retrieval to let users specify search goals in a natural way. However, differences in user and system terminologies can challenge the identi...
[ "<|reference_start|> Linear Associative Information Retrieval: Abstract : The recognition and exploitation of term associations for the retrieval of documents is discussed. A general theory of association and associative retrieval is presented; it is based on the use of linear transformations, both for establishing...
[ 0, 5, 9, 14 ]
{"<|cite_1|>": "ss-1105570", "<|multi_cite_2_1|>": "ss-1945401", "<|cite_3|>": "ss-1105571", "<|cite_5|>": "ss-1291269", "<|cite_6|>": "ss-1105572", "<|cite_7|>": "ss-1105573", "<|cite_8|>": "ss-1105574", "<|cite_9|>": "ss-1105575", "<|cite_10|>": "ss-1105576", "<|cite_11|>": "ss-1105577", "<|cite_12|>": "ss-1105578", ...
2101.06666
<|paper_start|> Title: Deep Learning-Aided 5G Channel Estimation Abstract: Deep Learning-Aided 5G Channel Estimation: Deep learning has demonstrated the important roles in improving the system performance and reducing computational complexity for $5$G-and-beyond networks. In this paper, we propose a new channel estimat...
[ "<|reference_start|> Machine learning based channel estimation: A computational approach for universal channel conditions: Recently, machine learning has been introduced in communications to deal with channel estimation. Under non-linear system models, the superiority of machine learning based estimation has been d...
[ 4, 8, 10, 13 ]
{"<|cite_1|>": "ss-2149131", "<|cite_2|>": "arxiv-35958", "<|multi_cite_4_1|>": "ss-678398", "<|multi_cite_4_2|>": "arxiv-166667", "<|multi_cite_5_1|>": "ss-2217260", "<|multi_cite_5_2|>": "ss-2217261", "<|multi_cite_6_1|>": "ss-789462", "<|multi_cite_6_2|>": "ss-1085389", "<|multi_cite_7_1|>": "arxiv-115755", "<|multi...
1310.7991
<|paper_start|> Title: Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization Abstract: Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization: We consider the problem of sparse coding, where each sample consists of a sparse linear combination of a set of dictionary atoms, ...
[ "<|reference_start|> Method of Optimal Directions for frame design: A frame design technique for use with vector selection algorithms, for example matching pursuits (MP), is presented. The design algorithm is iterative and requires a training set of signal vectors. The algorithm, called method of optimal directions...
[ 8, 17, 22, 34 ]
{"<|multi_cite_1_1|>": "ss-793499", "<|multi_cite_1_2|>": "ss-875839", "<|multi_cite_2_1|>": "ss-1022631", "<|multi_cite_2_2|>": "ss-1667401", "<|cite_3|>": "ss-1022631", "<|cite_4|>": "ss-1686435", "<|cite_5|>": "ss-1086778", "<|multi_cite_6_1|>": "ss-1006718", "<|multi_cite_6_2|>": "ss-901083", "<|multi_cite_6_3|>": ...
2101.06551-1
<|cite_start|> (Reference: Community Detection in Networks with Node Attributes: Community detection algorithms are fundamental tools that allow us to uncover organizational principles in networks. When detecting communities, there are two possible sources of information one can use: the network structure, and the fea...
[ "<|reference_start|> Graph Clustering based on Structural/Attribute Similarities: The goal of graph clustering is to partition vertices in a large graph into different clusters based on various criteria such as vertex connectivity or neighborhood similarity. Graph clustering techniques are very useful for detecting...
[ 4, 6, 10, 11 ]
{"<|cite_1|>": "ss-2532478", "<|multi_cite_2_1|>": "ss-979170", "<|multi_cite_2_3|>": "arxiv-669191", "<|multi_cite_2_4|>": "ss-1423212", "<|multi_cite_3_1|>": "ss-2211227", "<|multi_cite_3_2|>": "ss-2211228", "<|cite_5|>": "ss-2211229", "<|multi_cite_6_2|>": "ss-1691371", "<|cite_7|>": "ss-2354700", "<|multi_cite_8_1|...
1012.0016
<|paper_start|> Title: Is Light-Tree Structure Optimal for Multicast Routing in Sparse Light Splitting WDM Networks? Abstract: Is Light-Tree Structure Optimal for Multicast Routing in Sparse Light Splitting WDM Networks?: To minimize the number of wavelengths required by a multicast session in sparse light splitting wa...
[ "<|reference_start|> Multicasting in WDM networks: Wavelength-division multiplexing (WDM) networks are believed to be a promising candidate to meet the explosive increase of bandwidth demand in the Internet. In this article, we survey the problems of and approaches to multicasting in WDM networks. In particular, we...
[ 1, 7, 10, 12 ]
{"<|cite_1|>": "ss-2222657", "<|cite_2|>": "ss-1163652", "<|cite_3|>": "ss-2222657", "<|cite_4|>": "ss-1340688", "<|cite_5|>": "ss-1340688", "<|cite_6|>": "ss-1340688", "<|cite_7|>": "ss-2222439", "<|cite_8|>": "ss-2222440", "<|cite_9|>": "ss-2222658", "<|cite_10|>": "ss-1889310", "<|cite_11|>": "ss-2222441", "<|cite_1...
2201.04252
<|paper_start|> Title: Generating Connected, Simple, and Realistic Cyber Graphs for Smart Grids Abstract: Generating Connected, Simple, and Realistic Cyber Graphs for Smart Grids: Smart grids integrate communication systems with power networks to enable power grids operation and command through real-time data collectio...
[ "<|reference_start|> Coordination of Transmission, Distribution and Communication Systems for Prompt Power System Recovery after Disasters:Report – Grid and Communication Interdependency Review and Characterization of Typical Communication Systems: <|reference_end|>", "<|reference_start|> 2019 20th International...
[ 1, 6, 9, 12 ]
{"<|cite_1|>": "ss-712486", "<|cite_2|>": "ss-982455", "<|cite_3|>": "ss-1865476", "<|multi_cite_4_1|>": "ss-1121540", "<|multi_cite_4_2|>": "ss-1960472", "<|multi_cite_4_3|>": "ss-1921548", "<|multi_cite_4_4|>": "ss-1328614", "<|cite_5|>": "arxiv-16585", "<|cite_6|>": "ss-712486", "<|cite_7|>": "ss-712486", "<|cite_8|...
2009.04416
<|paper_start|> Title: Phasic Policy Gradient Abstract: Phasic Policy Gradient: We introduce Phasic Policy Gradient (PPG), a reinforcement learning framework which modifies traditional on-policy actor-critic methods by separating policy and value function training into distinct phases. In prior methods, one must choose...
[ "<|reference_start|> The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning: Non-stationarity arises in Reinforcement Learning (RL) even in stationary environments. Most RL algorithms collect new data throughout training, using a non-stationary behaviour policy. Furthermore, training target...
[ 11, 12, 19, 20 ]
{"<|cite_5|>": "arxiv-239288", "<|cite_6|>": "ss-679381", "<|cite_7|>": "arxiv-229065", "<|cite_8|>": "arxiv-129813", "<|cite_9|>": "arxiv-91622", "<|multi_cite_11_1|>": "arxiv-73321", "<|multi_cite_11_2|>": "arxiv-132151", "<|multi_cite_11_3|>": "arxiv-226496", "<|multi_cite_11_4|>": "arxiv-225819", "<|multi_cite_11_5...
2102.01930
<|paper_start|> Title: General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework Abstract: General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework: This paper presents a self-supervised learning framework, named MGF, for general-pur...
[ "<|reference_start|> Representation Learning with Contrastive Predictive Coding: While supervised learning has enabled great progress in many applications, unsupervised learning has not seen such widespread adoption, and remains an important and challenging endeavor for artificial intelligence. In this work, we pro...
[ 13, 24, 25, 31 ]
{"<|cite_1|>": "ss-1457177", "<|multi_cite_2_1|>": "arxiv-234041", "<|multi_cite_2_2|>": "arxiv-248169", "<|multi_cite_3_1|>": "arxiv-199549", "<|multi_cite_3_2|>": "arxiv-228465", "<|multi_cite_3_3|>": "ss-769086", "<|multi_cite_3_4|>": "arxiv-237630", "<|cite_4|>": "arxiv-198607", "<|cite_5|>": "ss-1457177", "<|multi...
2406.06184
<|paper_start|> Title: Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization Abstract: Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization: In this paper, we introduce Multi-Objective Deep Centralized Multi-Agent Actor-C...
[ "<|reference_start|> The influence of practical factors on the benefits of condition-based maintenance over time-based maintenance: <|reference_end|>", "<|reference_start|> Predictive maintenance in the Industry 4.0: A systematic literature review: <|reference_end|>", "<|reference_start|> A Practical Guide to...
[ 3, 4, 20, 36 ]
{"<|cite_1|>": "ss-1348327", "<|cite_2|>": "ss-677719", "<|cite_4|>": "ss-1348328", "<|cite_5|>": "ss-2321178", "<|cite_6|>": "ss-1232383", "<|multi_cite_7_1|>": "ss-1348329", "<|multi_cite_7_2|>": "ss-1348330", "<|multi_cite_8_1|>": "ss-1348331", "<|multi_cite_8_2|>": "ss-1348332", "<|multi_cite_8_3|>": "ss-1348333", ...
2004.00188
<|paper_start|> Title: Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset Abstract: Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset: We introduce the Expanded Groove MIDI dataset (E-GMD), an automatic drum transcription (ADT) dataset that co...
[ "<|reference_start|> {From Labeled to Unlabeled Data – On the Data\nChallenge in Automatic Drum Transcription: Automatic Drum Transcription (ADT), like many other music information retrieval tasks, has made progress in the past years through the integration of machine learning and audio signal processing techniques...
[ 13, 18, 19, 24 ]
{"<|cite_7|>": "arxiv-138637", "<|multi_cite_1_1|>": "ss-1944206", "<|multi_cite_1_2|>": "arxiv-208795", "<|multi_cite_1_3|>": "ss-1467239", "<|multi_cite_1_4|>": "ss-1944207", "<|multi_cite_1_5|>": "ss-1944208", "<|multi_cite_1_6|>": "ss-1944209", "<|multi_cite_1_7|>": "ss-1944210", "<|multi_cite_2_1|>": "ss-1944206",...
2311.10122
<|paper_start|> Title: Video-LLaVA: Learning United Visual Representation by Alignment Before Projection Abstract: Video-LLaVA: Learning United Visual Representation by Alignment Before Projection: The Large Vision-Language Model (LVLM) has enhanced the performance of various downstream tasks in visual-language underst...
[ "<|reference_start|> mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality: Large language models (LLMs) have demonstrated impressive zero-shot abilities on a variety of open-ended tasks, while recent research has also explored the use of LLMs for multi-modal generation. In this study, we intr...
[ 4, 20, 31, 38 ]
{"<|cite_1|>": "arxiv-489148", "<|multi_cite_2_1|>": "arxiv-259518", "<|multi_cite_2_2|>": "arxiv-505787", "<|cite_3|>": "arxiv-460885", "<|multi_cite_4_1|>": "arxiv-500417", "<|multi_cite_4_2|>": "arxiv-498672", "<|multi_cite_4_3|>": "arxiv-416418", "<|multi_cite_5_1|>": "arxiv-514178", "<|multi_cite_5_2|>": "arxiv-50...
2408.17237
<|paper_start|> Title: A nonlinear elasticity model in computer vision Abstract: A nonlinear elasticity model in computer vision: The purpose of this paper is to analyze a nonlinear elasticity model previously introduced by the authors for comparing two images, regarded as bounded open subsets of $\R^n$ together with a...
[ "<|reference_start|> Shape-Aware Matching of Implicit Surfaces Based on Thin Shell Energies: <|reference_end|>", "<|reference_start|> Variational Methods in Image Matching and Motion Extraction: <|reference_end|>", "<|reference_start|> A variational model dedicated to joint segmentation, registration, and atl...
[ 7, 14, 17, 21 ]
{"<|cite_1|>": "arxiv-489797", "<|cite_3|>": "ss-1257426", "<|cite_4|>": "ss-1521053", "<|multi_cite_5_2|>": "ss-2448601", "<|multi_cite_5_3|>": "ss-2297780", "<|multi_cite_5_4|>": "ss-1286042", "<|multi_cite_5_5|>": "ss-2153256", "<|multi_cite_5_6|>": "ss-681292", "<|multi_cite_5_7|>": "arxiv-288083", "<|multi_cite_5_...
2003.08537
<|paper_start|> Title: HOSVD-Based Algorithm for Weighted Tensor Completion Abstract: HOSVD-Based Algorithm for Weighted Tensor Completion: Matrix completion, the problem of completing missing entries in a data matrix with low dimensional structure (such as rank), has seen many fruitful approaches and analyses. Tensor ...
[ "<|reference_start|> The Expression of a Tensor or a Polyadic as a Sum of Products: <|reference_end|>", "<|reference_start|> {Tensor completion for estimating missing values in visual data: In this paper, we propose an algorithm to estimate missing values in tensors of visual data. The values can be missing due ...
[ 0, 4, 9, 13 ]
{"<|multi_cite_1_1|>": "ss-987323", "<|multi_cite_1_2|>": "ss-1356700", "<|multi_cite_1_3|>": "ss-1256055", "<|multi_cite_2_1|>": "ss-2276938", "<|multi_cite_2_2|>": "ss-945603", "<|multi_cite_2_3|>": "ss-2276939", "<|multi_cite_2_4|>": "arxiv-141417", "<|multi_cite_3_1|>": "ss-1233215", "<|multi_cite_3_2|>": "ss-94560...
2110.02279
<|paper_start|> Title: Turing approximations, toric isometric embeddings & manifold convolutions Abstract: Turing approximations, toric isometric embeddings & manifold convolutions: Convolutions are fundamental elements in deep learning architectures. Here, we present a theoretical framework for combining extrinsic and...
[ "<|reference_start|> Deep Learning in Neural Networks: An Overview: In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarises relevant work, much of it from the previous millennium. ...
[ 0, 1, 5, 10 ]
{"<|multi_cite_1_1|>": "arxiv-60238", "<|multi_cite_1_2|>": "ss-1056505", "<|cite_2|>": "arxiv-166644", "<|cite_3|>": "ss-1461854", "<|cite_4|>": "ss-711998", "<|cite_5|>": "ss-1450402", "<|multi_cite_6_1|>": "ss-981785", "<|multi_cite_6_2|>": "ss-1375691", "<|cite_7|>": "ss-1644241", "<|multi_cite_8_1|>": "ss-1091941"...
2010.11635
<|paper_start|> Title: Continual Learning in Low-rank Orthogonal Subspaces Abstract: Continual Learning in Low-rank Orthogonal Subspaces: In continual learning (CL), a learner is faced with a sequence of tasks, arriving one after the other, and the goal is to remember all the tasks once the continual learning experienc...
[ "<|reference_start|> Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem: <|reference_end|>", "<|reference_start|> Continual Learning Through Synaptic Intelligence: While deep learning has led to remarkable advances across diverse applications, it struggles in domains where the d...
[ 0, 2, 10, 14 ]
{"<|cite_1|>": "ss-1198060", "<|multi_cite_2_1|>": "arxiv-111666", "<|multi_cite_2_2|>": "arxiv-118897", "<|multi_cite_2_3|>": "arxiv-141313", "<|multi_cite_2_4|>": "arxiv-146744", "<|multi_cite_2_5|>": "arxiv-138501", "<|multi_cite_3_1|>": "arxiv-100147", "<|multi_cite_3_2|>": "arxiv-131196", "<|multi_cite_4_1|>": "ss...
2401.15896
<|paper_start|> Title: M2-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient Pretraining Abstract: M2-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient Pretraining: Vision-language foundation models like CLIP have revolutionized the field of artificial intelligen...
[ "<|reference_start|> Learning Transferable Visual Models From Natural Language Supervision: State-of-the-art computer vision systems are trained to predict a fixed set of predetermined object categories. This restricted form of supervision limits their generality and usability since additional labeled data is neede...
[ 0, 8, 17, 19 ]
{"<|cite_1|>": "arxiv-323919", "<|multi_cite_2_1|>": "arxiv-500417", "<|multi_cite_2_2|>": "arxiv-477561", "<|multi_cite_2_3|>": "arxiv-503098", "<|multi_cite_2_4|>": "arxiv-498672", "<|multi_cite_2_5|>": "arxiv-503928", "<|multi_cite_2_6|>": "arxiv-497716", "<|multi_cite_2_7|>": "ss-1189281", "<|multi_cite_3_1|>": "ss...
1502.02135
<|paper_start|> Title: Simultaneous Time-Space Upper Bounds for Certain Problems in Planar Graphs Abstract: Simultaneous Time-Space Upper Bounds for Certain Problems in Planar Graphs: In this paper, we show that given a weighted, directed planar graph $G$, and any $\epsilon >0$, there exists a polynomial time and $O(n^...
[ "<|reference_start|> Memory-Constrained Algorithms for Shortest Path Problem: We present an algorithm computing a shortest path between to vertices in a square grid graph with edge weights that uses memory less than linear in the number of vertices (apart from that for storing in the input). For any e > 0, our algo...
[ 8, 15, 17, 19 ]
{"<|cite_1|>": "ss-681930", "<|cite_2|>": "ss-1012394", "<|cite_3|>": "ss-1659916", "<|cite_4|>": "ss-794185", "<|cite_5|>": "ss-774009", "<|cite_6|>": "ss-889446", "<|cite_7|>": "ss-2433423", "<|cite_9|>": "ss-794186", "<|cite_10|>": "ss-889447", "<|cite_11|>": "ss-794187", "<|cite_12|>": "ss-794188", "<|cite_13|>": "...
2404.15305-1
<|cite_start|> (Reference: A Survey of Unsupervised Deep Domain Adaptation: Deep learning has produced state-of-the-art results for a variety of tasks. While such approaches for supervised learning have performed well, they assume that training and testing data are drawn from the same distribution, which may not alway...
[ "<|reference_start|> Stratified Transfer Learning for Cross-domain Activity Recognition: In activity recognition, it is often expensive and time-consuming to acquire sufficient activity labels. To solve this problem, transfer learning leverages the labeled samples from the source domain to annotate the target domai...
[ 3, 6, 10, 14 ]
{"<|multi_cite_1_1|>": "ss-1865382", "<|multi_cite_1_2|>": "ss-1865383", "<|multi_cite_2_1|>": "ss-1597539", "<|multi_cite_2_2|>": "ss-2078963", "<|multi_cite_3_1|>": "ss-1088726", "<|multi_cite_3_2|>": "ss-1612644", "<|cite_4|>": "arxiv-401736", "<|multi_cite_5_1|>": "arxiv-308983", "<|multi_cite_5_2|>": "arxiv-461355...
2101.00360
<|paper_start|> Title: New-Type Hoeffding's Inequalities and Application in Tail Bounds Abstract: New-Type Hoeffding's Inequalities and Application in Tail Bounds: It is well known that Hoeffding's inequality has a lot of applications in the signal and information processing fields. How to improve Hoeffding's inequalit...
[ "<|reference_start|> Concentration of Measure Inequalities in Information Theory, Communications, and Coding: Concentration inequalities have been the subject of exciting developments during the last two decades, and have been intensively studied and used as a powerful tool in various areas. These include convex ge...
[ 7, 8, 9, 11 ]
{"<|cite_1|>": "ss-876676", "<|cite_2|>": "ss-1002580", "<|cite_3|>": "ss-2217262", "<|cite_4|>": "arxiv-43534", "<|cite_5|>": "ss-2217263", "<|cite_6|>": "ss-2217264", "<|cite_7|>": "ss-2217265", "<|cite_8|>": "ss-1203868", "<|cite_9|>": "arxiv-25820", "<|cite_10|>": "ss-1308226", "<|cite_11|>": "arxiv-128143", "<|cit...
2007.07218-0
<|paper_start|> Title: Learning Accurate and Human-Like Driving using Semantic Maps and Attention Abstract: Learning Accurate and Human-Like Driving using Semantic Maps and Attention: This paper investigates how end-to-end driving models can be improved to drive more accurately and human-like. To tackle the first issue...
[ "<|reference_start|> Human-like motion planning model for driving in signalized intersections: <|reference_end|>", "<|reference_start|> End-to-end Learning of Driving Models from Large-scale Video Datasets: Robust perception-action models should be learned from training data with diverse visual appearances and r...
[ 15, 28, 35, 67 ]
{"<|cite_1|>": "ss-691875", "<|multi_cite_2_1|>": "ss-1092450", "<|multi_cite_2_2|>": "ss-866128", "<|multi_cite_3_1|>": "ss-866128", "<|multi_cite_3_2|>": "ss-900092", "<|multi_cite_4_1|>": "arxiv-96666", "<|multi_cite_4_2|>": "arxiv-136630", "<|multi_cite_4_3|>": "arxiv-152996", "<|cite_5|>": "ss-866128", "<|multi_ci...
2006.14979
<|paper_start|> Title: The Sci-hub Effect: Sci-hub downloads lead to more article citations Abstract: The Sci-hub Effect: Sci-hub downloads lead to more article citations: Citations are often used as a metric of the impact of scientific publications. Here, we examine how the number of downloads from Sci-hub as well as ...
[ "<|reference_start|> Will the rise of sci-hub pave the road for the subscription-based access to publishing databases?: Sci-hub has become the new phenomenon on the academic publishing market. While its popularity is growing worldwide, large academic publishers are losing millions of dollars on paid article downloa...
[ 6, 7, 10, 20 ]
{"<|cite_1|>": "ss-781839", "<|cite_2|>": "ss-2201982", "<|cite_3|>": "ss-2201983", "<|cite_4|>": "ss-2201984", "<|multi_cite_5_1|>": "ss-2201985", "<|multi_cite_5_2|>": "ss-2201986", "<|multi_cite_5_3|>": "ss-2201987", "<|multi_cite_5_4|>": "ss-2201988", "<|multi_cite_5_5|>": "ss-2201989", "<|multi_cite_6_1|>": "ss-22...
1403.5986
<|paper_start|> Title: Controllability Analysis for Multirotor Helicopter Rotor Degradation and Failure Abstract: Controllability Analysis for Multirotor Helicopter Rotor Degradation and Failure: This paper considers the controllability analysis problem for a class of multirotor systems subject to rotor failure/wear. I...
[ "<|reference_start|> Multirotor Aerial Vehicles: Modeling Estimation and Control of Quadrotor: This article provides a tutorial introduction to modeling, estimation, and control for multirotor aerial vehicles that includes the common four-rotor or quadrotor case. <|reference_end|>", "<|reference_start|> Hardware ...
[ 0, 1, 3, 6 ]
{"<|multi_cite_1_1|>": "ss-1123597", "<|multi_cite_1_2|>": "ss-2179603", "<|multi_cite_1_3|>": "ss-1135296", "<|cite_2|>": "ss-777147", "<|cite_3|>": "ss-1467420", "<|cite_4|>": "ss-2179604", "<|multi_cite_5_2|>": "ss-2179605", "<|cite_6|>": "ss-1833514", "<|cite_7|>": "ss-2179604", "<|cite_8|>": "ss-2179606", "<|cite_...
2408.08045
<|paper_start|> Title: Joint Message Detection, Channel, and User Position Estimation for Unsourced Random Access in Cell-Free Networks Abstract: Joint Message Detection, Channel, and User Position Estimation for Unsourced Random Access in Cell-Free Networks: We consider unsourced random access (uRA) in user-centric ce...
[ "<|reference_start|> SPARCs for Unsourced Random Access: Unsourced random-access (U-RA) is a type of grant-free random access with a virtually unlimited number of users, of which only a certain number $K_a$ are active on the same time slot. Users employ exactly the same codebook, and the task of the receiver is to ...
[ 1, 3, 4, 6 ]
{"<|multi_cite_1_1|>": "ss-1197482", "<|multi_cite_1_2|>": "arxiv-188002", "<|multi_cite_1_3|>": "arxiv-230632", "<|multi_cite_1_4|>": "ss-1350505", "<|cite_2|>": "ss-2439441", "<|cite_3|>": "arxiv-359242", "<|cite_4|>": "arxiv-499524"}
0903.1022
<|paper_start|> Title: On-Off Random Access Channels: A Compressed Sensing Framework Abstract: On-Off Random Access Channels: A Compressed Sensing Framework: This paper considers a simple on-off random multiple access channel, where n users communicate simultaneously to a single receiver over m degrees of freedom. Each...
[ "<|reference_start|> Home networking with IEEE 802.15.4: a developing standard for low-rate wireless personal area networks: This article presents the IEEE 802.15.4 draft standard and its home networking applications. The main features of the standard are network flexibility, low cost, and low power consumption; th...
[ 0, 17, 21, 25 ]
{"<|cite_1|>": "ss-1407069", "<|multi_cite_2_1|>": "ss-808417", "<|multi_cite_2_2|>": "ss-2003089", "<|multi_cite_3_1|>": "ss-791874", "<|multi_cite_3_2|>": "ss-708234", "<|multi_cite_4_1|>": "ss-1147586", "<|multi_cite_4_2|>": "ss-1011535", "<|multi_cite_4_3|>": "ss-2003090", "<|multi_cite_4_4|>": "ss-1024986", "<|cit...
1905.11625
<|paper_start|> Title: NIL: Learning Nonlinear Interpolants Abstract: NIL: Learning Nonlinear Interpolants: Nonlinear interpolants have been shown useful for the verification of programs and hybrid systems in contexts of theorem proving, model checking, abstract interpretation, etc. The underlying synthesis problem, ho...
[ "<|reference_start|> Interpolants in Nonlinear Theories Over the Reals: <|reference_end|>", "<|reference_start|> Craig Interpolation in the Presence of Non-linear Constraints: <|reference_end|>", "<|reference_start|> Interpolants in Nonlinear Theories Over the Reals: <|reference_end|>", "<|reference_start|...
[ 22, 24, 33, 40 ]
{"<|cite_1|>": "ss-1080481", "<|cite_2|>": "ss-1704768", "<|cite_3|>": "ss-973261", "<|cite_4|>": "ss-977664", "<|cite_5|>": "ss-2285150", "<|cite_6|>": "ss-1060596", "<|cite_7|>": "ss-1405752", "<|cite_8|>": "arxiv-34731", "<|multi_cite_9_1|>": "ss-2285150", "<|multi_cite_9_2|>": "ss-2011928", "<|multi_cite_9_3|>": "s...
2112.14088
<|paper_start|> Title: Synchronized Audio-Visual Frames with Fractional Positional Encoding for Transformers in Video-to-Text Translation Abstract: Synchronized Audio-Visual Frames with Fractional Positional Encoding for Transformers in Video-to-Text Translation: Video-to-Text (VTT) is the task of automatically generat...
[ "<|reference_start|> {Video Captioning with Attention-based LSTM and Semantic Consistency: Recent progress in using long short-term memory (LSTM) for image captioning has motivated the exploration of their applications for video captioning. By taking a video as a sequence of features, an LSTM model is trained on vi...
[ 13, 28, 35, 45 ]
{"<|multi_cite_1_1|>": "arxiv-68898", "<|multi_cite_1_2|>": "arxiv-69800", "<|multi_cite_1_3|>": "arxiv-87927", "<|cite_2|>": "arxiv-72863", "<|cite_3|>": "arxiv-68898", "<|cite_4|>": "arxiv-126595", "<|cite_5|>": "arxiv-239807", "<|multi_cite_6_1|>": "arxiv-68898", "<|multi_cite_6_2|>": "arxiv-69800", "<|multi_cite_6_...
2011.02241
<|paper_start|> Title: The Forchheim Image Database for Camera Identification in the Wild Abstract: The Forchheim Image Database for Camera Identification in the Wild: Image provenance can represent crucial knowledge in criminal investigation and journalistic fact checking. In the last two decades, numerous algorithms ...
[ "<|reference_start|> Forensic Camera Model Identification: <|reference_end|>", "<|reference_start|> Digital camera identification from sensor pattern noise: In this paper, we propose a new method for the problem of digital camera identification from its images based on the sensor's pattern noise. For each camera...
[ 25, 28, 43, 53 ]
{"<|multi_cite_1_1|>": "ss-1522138", "<|multi_cite_1_2|>": "ss-795041", "<|multi_cite_1_3|>": "ss-1557979", "<|multi_cite_2_1|>": "ss-1299739", "<|multi_cite_2_2|>": "arxiv-158037", "<|multi_cite_2_3|>": "arxiv-158296", "<|multi_cite_2_4|>": "arxiv-170218", "<|multi_cite_2_5|>": "arxiv-93335", "<|multi_cite_2_6|>": "ss...
2205.03409-1
. Among them, FFHQ consists of $70,000$ high-quality images whose initial size exceeds $1024 \times 1024$. Based on the FFHQ dataset, some recent works <|cite_start|> (Reference: Towards Real-World Blind Face Restoration with Generative Facial Prior: Blind face restoration usually relies on facial priors, such as facia...
[ "<|reference_start|> Towards Real-World Blind Face Restoration with Generative Facial Prior: Blind face restoration usually relies on facial priors, such as facial geometry prior or reference prior, to restore realistic and faithful details. However, very low-quality inputs cannot offer accurate geometric prior whi...
[ 0, 1, 3, 4 ]
{"<|multi_cite_1_1|>": "ss-1050423", "<|multi_cite_1_2|>": "ss-940312", "<|multi_cite_1_3|>": "arxiv-128911", "<|multi_cite_2_1|>": "arxiv-290638", "<|multi_cite_2_2|>": "arxiv-141599", "<|multi_cite_2_3|>": "ss-754034", "<|multi_cite_3_1|>": "arxiv-154859", "<|multi_cite_3_2|>": "ss-1353350", "<|multi_cite_3_3|>": "ar...
2405.09115
<|paper_start|> Title: Hybrid Meta-Solving for Practical Quantum Computing Abstract: Hybrid Meta-Solving for Practical Quantum Computing: The advent of quantum algorithms has initiated a discourse on the potential for quantum speedups for optimization problems. However, several factors still hinder a practical realizat...
[ "<|reference_start|> {A fast quantum mechanical algorithm for database search: were proposed in the early 1980’s [Benioff80] and shown to be at least as powerful as classical computers an important but not surprising result, since classical computers, at the deepest level, ultimately follow the laws of quantum mech...
[ 5, 18, 24, 26 ]
{"<|cite_1|>": "ss-679651", "<|cite_2|>": "ss-855582", "<|cite_3|>": "ss-1516724", "<|multi_cite_4_1|>": "ss-1516788", "<|multi_cite_4_2|>": "ss-1668292", "<|cite_5|>": "ss-679651", "<|cite_6|>": "ss-765879", "<|cite_7|>": "arxiv-576856", "<|cite_9|>": "arxiv-180130", "<|cite_10|>": "arxiv-630617", "<|cite_11|>": "ss-1...
2401.09496
<|paper_start|> Title: Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation Abstract: Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation: Annotation scarcity and cross-modality/stain data distribution shifts are two majo...
[ "<|reference_start|> Prognostic value of automatically extracted nuclear morphometric features in whole slide images of male breast cancer: <|reference_end|>", "<|reference_start|> X-net with different loss functions for cell image segmentation: Convolutional neural network is valid for object segmentation. In r...
[ 2, 6, 7, 13 ]
{"<|cite_2|>": "ss-750770", "<|multi_cite_3_1|>": "ss-750771", "<|multi_cite_3_2|>": "ss-2331299", "<|multi_cite_3_3|>": "ss-750772", "<|multi_cite_4_1|>": "arxiv-155896", "<|multi_cite_4_2|>": "ss-750773", "<|multi_cite_4_3|>": "ss-750774", "<|multi_cite_4_4|>": "arxiv-248424", "<|multi_cite_4_5|>": "ss-750775", "<|mu...
2011.00652-1
<|cite_start|> (Reference: 3DSSD: Point-based 3D Single Stage Object Detector: Currently, there have been many kinds of voxel-based 3D single stage detectors, while point-based single stage methods are still underexplored. In this paper, we first present a lightweight and effective point-based 3D single stage object d...
[ "<|reference_start|> Frustum PointNets for 3D Object Detection from RGB-D Data: In this work, we study 3D object detection from RGB-D data in both indoor and outdoor scenes. While previous methods focus on images or 3D voxels, often obscuring natural 3D patterns and invariances of 3D data, we directly operate on ra...
[ 3, 6, 7, 9 ]
{"<|cite_1|>": "ss-772764", "<|cite_2|>": "ss-1094448", "<|cite_3|>": "arxiv-104670", "<|cite_4|>": "arxiv-311696", "<|cite_5|>": "arxiv-191828", "<|cite_6|>": "arxiv-140386", "<|cite_7|>": "arxiv-191828", "<|cite_8|>": "arxiv-140386", "<|cite_9|>": "arxiv-184061", "<|cite_10|>": "arxiv-215887", "<|cite_11|>": "ss-1264...
2107.02591
<|paper_start|> Title: Decision problems for origin-close top-down tree transducers (full version) Abstract: Decision problems for origin-close top-down tree transducers (full version): Tree transductions are binary relations of finite trees. For tree transductions defined by non-deterministic top-down tree transducers...
[ "<|reference_start|> XQuery Streaming by Forest Transducers: Streaming of XML transformations is a challenging task and only very few systems support streaming. Research approaches generally define custom fragments of XQuery and XPath that are amenable to streaming, and then design custom algorithms for each fragme...
[ 3, 10, 26, 30 ]
{"<|cite_1|>": "ss-2037988", "<|cite_3|>": "ss-910838", "<|multi_cite_4_1|>": "ss-910839", "<|multi_cite_4_2|>": "arxiv-53180", "<|multi_cite_5_1|>": "ss-2037999", "<|multi_cite_5_2|>": "ss-910840", "<|multi_cite_6_1|>": "ss-910841", "<|multi_cite_6_2|>": "ss-910842", "<|cite_7|>": "ss-960706", "<|cite_8|>": "ss-910843...
1904.08189
<|paper_start|> Title: CenterNet: Keypoint Triplets for Object Detection Abstract: CenterNet: Keypoint Triplets for Object Detection: In object detection, keypoint-based approaches often suffer a large number of incorrect object bounding boxes, arguably due to the lack of an additional look into the cropped regions. Th...
[ "<|reference_start|> Fast R-CNN: This paper proposes a Fast Region-based Convolutional Network method (Fast R-CNN) for object detection. Fast R-CNN builds on previous work to efficiently classify object proposals using deep convolutional networks. Compared to previous work, Fast R-CNN employs several innovations to...
[ 14, 25, 26, 29 ]
{"<|cite_1|>": "arxiv-52559", "<|multi_cite_2_1|>": "arxiv-76959", "<|multi_cite_2_2|>": "arxiv-119553", "<|multi_cite_2_3|>": "ss-697426", "<|multi_cite_2_4|>": "arxiv-79041", "<|multi_cite_2_5|>": "arxiv-78819", "<|cite_3|>": "arxiv-168217", "<|cite_4|>": "arxiv-168217", "<|cite_5|>": "arxiv-60292", "<|cite_6|>": "ar...
2110.03070
<|paper_start|> Title: Robust Generalized Method of Moments: A Finite Sample Viewpoint Abstract: Robust Generalized Method of Moments: A Finite Sample Viewpoint: For many inference problems in statistics and econometrics, the unknown parameter is identified by a set of moment conditions. A generic method of solving mom...
[ "<|reference_start|> Sever: A Robust Meta-Algorithm for Stochastic Optimization: In high dimensions, most machine learning methods are brittle to even a small fraction of structured outliers. To address this, we introduce a new meta-algorithm that can take in a base learner such as least squares or stochastic gradi...
[ 11, 15, 17, 20 ]
{"<|cite_1|>": "ss-1840967", "<|cite_2|>": "ss-2470978", "<|cite_3|>": "ss-1089863", "<|cite_4|>": "ss-1334998", "<|cite_5|>": "ss-1341779", "<|cite_6|>": "ss-683319", "<|cite_7|>": "ss-1556100", "<|multi_cite_8_1|>": "ss-1556100", "<|multi_cite_8_2|>": "arxiv-118051", "<|multi_cite_9_1|>": "arxiv-160818", "<|multi_cit...
2106.02556
<|paper_start|> Title: Musical Prosody-Driven Emotion Classification: Interpreting Vocalists Portrayal of Emotions Through Machine Learning Abstract: Musical Prosody-Driven Emotion Classification: Interpreting Vocalists Portrayal of Emotions Through Machine Learning: The task of classifying emotions within a musical tr...
[ "<|reference_start|> Audio-visual feature selection and reduction for emotion classification: Recognition of expressed emotion from speech and facial gestures was investigated in experiments on an audio-visual emotional database. A total of 106 audio and 240 visual features were extracted and then features were sel...
[ 8, 10, 13, 14 ]
{"<|cite_1|>": "arxiv-281503", "<|cite_2|>": "ss-983569", "<|cite_3|>": "arxiv-243697", "<|cite_4|>": "ss-2029329", "<|cite_5|>": "ss-793389", "<|cite_6|>": "ss-1935641", "<|cite_7|>": "ss-900771", "<|cite_8|>": "ss-701706", "<|cite_9|>": "ss-2029330", "<|cite_10|>": "ss-2310222", "<|cite_11|>": "arxiv-79524", "<|cite_...
2302.11637
<|paper_start|> Title: Hitting Sets when the Shallow Cell Complexity is Small Abstract: Hitting Sets when the Shallow Cell Complexity is Small: The hitting set problem is a well-known NP-hard optimization problem in which, given a set of elements and a collection of subsets, the goal is to find the smallest selection o...
[ "<|reference_start|> A randomized algorithm for closest-point queries: An algorithm for closest-point queries is given. The problem is this: given a set S of n points in d-dimensional space, build a data structure so that given an arbitrary query point p, a closest point in S to p can be found quickly. The measure ...
[ 10, 16, 17, 25 ]
{"<|cite_1|>": "ss-683080", "<|multi_cite_2_1|>": "ss-946698", "<|multi_cite_2_2|>": "ss-1462109", "<|multi_cite_3_1|>": "ss-1625108", "<|multi_cite_3_2|>": "ss-788097", "<|cite_5|>": "ss-809778", "<|cite_6|>": "ss-998382", "<|cite_7|>": "ss-998382", "<|cite_8|>": "ss-998382", "<|cite_9|>": "ss-681199", "<|cite_10|>": ...
2012.02179
<|paper_start|> Title: Reconstructing cellular automata rules from observations at nonconsecutive times Abstract: Reconstructing cellular automata rules from observations at nonconsecutive times: Recent experiments by Springer and Kenyon have shown that a deep neural network can be trained to predict the action of $t$ ...
[ "<|reference_start|> A New Kind of Science: Book Review for:\"A New Kind of Science\", by Stephen Wolfram (Wolfram Media, Inc. Champaign IL 2002). <|reference_end|>", "<|reference_start|> It's Hard for Neural Networks To Learn the Game of Life: Efforts to improve the learning abilities of neural networks have foc...
[ 0, 1, 2, 3 ]
{"<|cite_1|>": "ss-1269825", "<|cite_2|>": "arxiv-287944", "<|cite_3|>": "arxiv-151068", "<|cite_4|>": "arxiv-232051", "<|cite_5|>": "ss-1282829"}
2103.09518
<|paper_start|> Title: Sliceable Monolith: Monolith First, Microservices Later Abstract: Sliceable Monolith: Monolith First, Microservices Later: We propose Sliceable Monolith, a new methodology for developing microservice architectures and perform their integration testing by leveraging most of the simplicity of a mon...
[ "<|reference_start|> Microservices: yesterday, today, and tomorrow: Microservices is an architectural style inspired by service-oriented computing that has recently started gaining popularity. Before presenting the current state-of-the-art in the field, this chapter reviews the history of software architecture, the...
[ 0, 1, 2, 3 ]
{"<|cite_1|>": "arxiv-99993", "<|multi_cite_2_1|>": "ss-1259204", "<|cite_4|>": "ss-1259205", "<|cite_5|>": "ss-1259205"}
2204.13451
<|paper_start|> Title: Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction Abstract: Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction: We address the problem of predicting when a disease will develop, i.e., medical event ti...
[ "<|reference_start|> 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2021.: The American Diabetes Association (ADA) \"Standards of Medical Care in Diabetes\" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, ge...
[ 4, 8, 9, 10 ]
{"<|cite_1|>": "ss-897971", "<|cite_2|>": "ss-1237182", "<|cite_3|>": "ss-1237183", "<|multi_cite_4_1|>": "ss-804025", "<|multi_cite_4_2|>": "ss-1237184", "<|multi_cite_5_1|>": "ss-882047", "<|multi_cite_5_2|>": "ss-1096362", "<|multi_cite_5_3|>": "arxiv-322918", "<|cite_6|>": "ss-882047", "<|cite_7|>": "ss-1237185", "...
2105.04774-1
<|cite_start|> (Reference: Adapting to Context-Aware Knowledge in Natural Conversation for Multi-Turn Response Selection: Virtual assistants aim to build a human-like conversational agent. However, current human-machine conversations still cannot make users feel intelligent enough to build a continued dialog over time...
[ "<|reference_start|> Adapting to Context-Aware Knowledge in Natural Conversation for Multi-Turn Response Selection: Virtual assistants aim to build a human-like conversational agent. However, current human-machine conversations still cannot make users feel intelligent enough to build a continued dialog over time. S...
[ 0, 1, 2, 3 ]
{"<|cite_1|>": "ss-1400180", "<|cite_2|>": "arxiv-249575", "<|cite_3|>": "arxiv-221953", "<|multi_cite_4_1|>": "arxiv-249575", "<|multi_cite_4_2|>": "arxiv-264266", "<|multi_cite_5_1|>": "arxiv-161813", "<|multi_cite_5_2|>": "ss-1523144", "<|multi_cite_5_4|>": "ss-846950", "<|multi_cite_5_5|>": "arxiv-221953", "<|multi...
1704.00708
<|paper_start|> Title: No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis Abstract: No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis: In this paper we develop a new framework that captures the common landscape underlying the common non-convex low-r...
[ "<|reference_start|> Accelerated Methods for Non-Convex Optimization: We present an accelerated gradient method for non-convex optimization problems with Lipschitz continuous first and second derivatives. The method requires time $O(\\epsilon^{-7/4} \\log(1/ \\epsilon) )$ to find an $\\epsilon$-stationary point, me...
[ 8, 32, 43, 44 ]
{"<|cite_1|>": "ss-835638", "<|cite_2|>": "ss-1269519", "<|cite_3|>": "ss-697593", "<|cite_4|>": "arxiv-86986", "<|multi_cite_5_1|>": "arxiv-98519", "<|multi_cite_5_2|>": "arxiv-105578", "<|cite_6|>": "arxiv-98531", "<|multi_cite_17_1|>": "ss-697593", "<|multi_cite_17_2|>": "arxiv-109226", "<|multi_cite_17_3|>": "ss-10...
2309.03728-1
] Let $\varepsilon \in (0,1)$. Any adjacency sketch for trees that only errs on edges with probability at most $\varepsilon$ must use labels of size $\log n+\log (1-\varepsilon)-O(1)$ for $n$-vertex trees. \end{theorem} A possible relaxation of Definition~\ref{resilience_definition} is to allow two-sided errors, i.e.\...
[ "<|reference_start|> Modern Cryptography, Probabilistic Proofs and Pseudorandomness: <|reference_end|>", "<|reference_start|> Modern Cryptography, Probabilistic Proofs and Pseudorandomness: <|reference_end|>", "<|reference_start|> Randomized distributed edge coloring via an extension of the Chernoff-Hoeffding...
[ 1, 2, 3, 4 ]
{"<|cite_1|>": "ss-1838888", "<|cite_2|>": "arxiv-59399", "<|cite_3|>": "arxiv-75827", "<|cite_4|>": "ss-1251598", "<|cite_5|>": "ss-1251599", "<|cite_6|>": "arxiv-379413", "<|multi_cite_7_1|>": "arxiv-383322", "<|multi_cite_7_2|>": "arxiv-382169", "<|cite_8|>": "arxiv-70921", "<|cite_9|>": "ss-1543105", "<|cite_10|>":...
1810.09992-0
<|paper_start|> Title: Computation Scheduling for Distributed Machine Learning with Straggling Workers Abstract: Computation Scheduling for Distributed Machine Learning with Straggling Workers: We study scheduling of computation tasks across n workers in a large scale distributed learning problem with the help of a mas...
[ "<|reference_start|> Pumma: Parallel universal matrix multiplication algorithms on distributed memory concurrent computers: This paper describes the Parallel Universal Matrix Multiplication Algorithms (PUMMA) on distributed memory concurrent computers. The PUMMA package includes not only the non-transposed matrix m...
[ 1, 9, 21, 24 ]
{"<|multi_cite_1_1|>": "ss-689032", "<|multi_cite_1_2|>": "ss-1142855", "<|multi_cite_2_1|>": "arxiv-88739", "<|multi_cite_2_2|>": "ss-1516646", "<|multi_cite_2_3|>": "arxiv-126996", "<|multi_cite_2_4|>": "arxiv-150390", "<|multi_cite_2_5|>": "arxiv-159364", "<|multi_cite_2_6|>": "arxiv-147821", "<|cite_3|>": "arxiv-88...
2301.08202
<|paper_start|> Title: Differentially Private Online Bayesian Estimation With Adaptive Truncation Abstract: Differentially Private Online Bayesian Estimation With Adaptive Truncation: We propose a novel online and adaptive truncation method for differentially private Bayesian online estimation of a static parameter reg...
[ "<|reference_start|> The algorithmic foundations of Differential Privacy: The problem of privacy-preserving data analysis has a long history spanning multiple disciplines. As electronic data about individuals becomes increasingly detailed, and as technology enables ever more powerful collection and curation of thes...
[ 1, 7, 12, 19 ]
{"<|multi_cite_1_1|>": "ss-702958", "<|multi_cite_1_2|>": "ss-767290", "<|multi_cite_4_1|>": "ss-1278859", "<|multi_cite_4_2|>": "arxiv-143993", "<|multi_cite_5_1|>": "arxiv-189368", "<|multi_cite_5_2|>": "ss-929551", "<|multi_cite_5_3|>": "arxiv-349107", "<|multi_cite_2_1|>": "arxiv-94503", "<|multi_cite_2_2|>": "ss-1...
1109.0351
<|paper_start|> Title: Directed Information, Causal Estimation, and Communication in Continuous Time Abstract: Directed Information, Causal Estimation, and Communication in Continuous Time: A notion of directed information between two continuous-time processes is proposed. A key component in the definition is taking an...
[ "<|reference_start|> Feedback Capacity of Stationary Gaussian Channels: The feedback capacity of additive stationary Gaussian noise channels is characterized as the solution to a variational problem. Toward this end, it is proved that the optimal feedback coding scheme is stationary. When specialized to the first-o...
[ 7, 11, 14, 18 ]
{"<|cite_1|>": "ss-1264121", "<|cite_2|>": "ss-1264121", "<|cite_3|>": "ss-1955825", "<|cite_4|>": "arxiv-674844", "<|cite_5|>": "arxiv-675397", "<|cite_6|>": "arxiv-674650", "<|multi_cite_7_1|>": "ss-781115", "<|multi_cite_7_2|>": "arxiv-673905", "<|multi_cite_7_3|>": "arxiv-674919", "<|cite_8|>": "ss-1955825", "<|mul...
2307.06101
<|paper_start|> Title: Air Bumper: A Collision Detection and Reaction Framework for Autonomous MAV Navigation Abstract: Air Bumper: A Collision Detection and Reaction Framework for Autonomous MAV Navigation: Autonomous navigation in unknown environments with obstacles remains challenging for micro aerial vehicles (MAVs...
[ "<|reference_start|> Review of Unmanned Aerial System (UAS) applications in the built environment: Towards automated building inspection procedures using drones: <|reference_end|>", "<|reference_start|> Model predictive local motion planning with boundary state constrained primitives: Motion primitives are frequ...
[ 0, 11, 16, 21 ]
{"<|multi_cite_1_1|>": "ss-1839678", "<|multi_cite_1_2|>": "ss-845410", "<|multi_cite_1_3|>": "ss-806353", "<|multi_cite_2_1|>": "ss-1210822", "<|multi_cite_2_2|>": "arxiv-328822", "<|multi_cite_2_3|>": "arxiv-335496", "<|multi_cite_3_1|>": "ss-1839679", "<|multi_cite_3_2|>": "ss-1441181", "<|cite_4|>": "arxiv-355062",...
1309.6683
<|paper_start|> Title: Dynamic Structural Equation Models for Social Network Topology Inference Abstract: Dynamic Structural Equation Models for Social Network Topology Inference: Many real-world processes evolve in cascades over complex networks, whose topologies are often unobservable and change over time. However, t...
[ "<|reference_start|> Uncovering the Temporal Dynamics of Diffusion Networks: Time plays an essential role in the diffusion of information, influence and disease over networks. In many cases we only observe when a node copies information, makes a decision or becomes infected -- but the connectivity, transmission rat...
[ 4, 14, 20, 29 ]
{"<|multi_cite_1_1|>": "ss-1513572", "<|multi_cite_1_2|>": "ss-1040365", "<|cite_2|>": "ss-847634", "<|cite_3|>": "arxiv-38916", "<|cite_4|>": "arxiv-21211", "<|cite_5|>": "arxiv-16911", "<|cite_6|>": "arxiv-38916", "<|cite_7|>": "arxiv-38916", "<|multi_cite_8_1|>": "ss-2014908", "<|multi_cite_8_2|>": "ss-812973", "<|c...
2210.07018-0
<|paper_start|> Title: Online matching with delays and stochastic arrival times Abstract: Online matching with delays and stochastic arrival times: This paper presents a new research direction for the Min-cost Perfect Matching with Delays (MPMD) - a problem introduced by Emek et al. (STOC'16). In the original version o...
[ "<|reference_start|> A Primal-Dual Online Deterministic Algorithm for Matching with Delays: In the Min-cost Perfect Matching with Delays (MPMD) problem, 2 m requests arrive over time at points of a metric space. An online algorithm has to connect these requests in pairs, but a decision to match may be postponed til...
[ 5, 15, 36, 41 ]
{"<|cite_1|>": "arxiv-93689", "<|multi_cite_2_1|>": "arxiv-93689", "<|multi_cite_2_2|>": "ss-818399", "<|multi_cite_2_3|>": "ss-980190", "<|multi_cite_2_4|>": "arxiv-122352", "<|multi_cite_2_5|>": "arxiv-155882", "<|multi_cite_2_6|>": "ss-1526965", "<|multi_cite_2_7|>": "arxiv-161951", "<|multi_cite_2_8|>": "arxiv-3013...
2404.19392-0
<|paper_start|> Title: Convergence analysis of the transformed gradient projection algorithms on compact matrix manifolds Abstract: Convergence analysis of the transformed gradient projection algorithms on compact matrix manifolds: In this paper, to address the optimization problem on a compact matrix manifold, we intr...
[ "<|reference_start|> An Introduction to Optimization on Smooth Manifolds: Optimization on Riemannian manifolds-the result of smooth geometry and optimization merging into one elegant modern framework-spans many areas of science and engineering, including machine learning, computer vision, signal processing, dynamic...
[ 47, 49, 63, 76 ]
{"<|multi_cite_1_1|>": "ss-1261283", "<|multi_cite_1_2|>": "ss-958475", "<|multi_cite_1_3|>": "ss-2229951", "<|multi_cite_2_1|>": "ss-850958", "<|multi_cite_2_2|>": "ss-1096118", "<|multi_cite_2_3|>": "arxiv-236586", "<|multi_cite_3_1|>": "ss-813306", "<|multi_cite_3_2|>": "ss-1903593", "<|multi_cite_4_1|>": "arxiv-376...
2201.12594-0
<|paper_start|> Title: Robust Imitation Learning from Corrupted Demonstrations Abstract: Robust Imitation Learning from Corrupted Demonstrations: We consider offline Imitation Learning from corrupted demonstrations where a constant fraction of data can be noise or even arbitrary outliers. Classical approaches such as B...
[ "<|reference_start|> Generative Adversarial Imitation Learning: Consider learning a policy from example expert behavior, without interaction with the expert or access to reinforcement signal. One approach is to recover the expert's cost function with inverse reinforcement learning, then extract a policy from that c...
[ 5, 14, 18, 20 ]
{"<|cite_20|>": "arxiv-117603", "<|cite_1|>": "arxiv-246015", "<|cite_21|>": "arxiv-220059", "<|cite_2|>": "arxiv-180650", "<|cite_3|>": "ss-946865", "<|cite_4|>": "arxiv-99846", "<|multi_cite_5_1|>": "arxiv-189049", "<|multi_cite_5_2|>": "ss-1292541", "<|multi_cite_5_3|>": "arxiv-297636", "<|multi_cite_5_4|>": "arxiv-...
1405.7487
<|paper_start|> Title: Asynchronous Execution of the Fast Multipole Method Using Charm++ Abstract: Asynchronous Execution of the Fast Multipole Method Using Charm++: Fast multipole methods (FMM) on distributed mem- ory have traditionally used a bulk-synchronous model of com- municating the local essential tree (LET) an...
[ "<|reference_start|> Massively parallel cosmological simulations with ChaNGa: Cosmological simulators are an important component in the study of the formation of galaxies and large scale structures, and can help answer many important questions about the Universe. Despite their utility, existing parallel simulators ...
[ 2, 4, 5, 9 ]
{"<|cite_1|>": "ss-1150683", "<|cite_2|>": "ss-1150683", "<|cite_3|>": "ss-1150684", "<|cite_4|>": "ss-1148740", "<|cite_5|>": "ss-1150685", "<|cite_6|>": "ss-1150686", "<|multi_cite_8_1|>": "arxiv-32291", "<|multi_cite_8_2|>": "ss-1150687", "<|cite_9|>": "ss-793829", "<|cite_10|>": "ss-1910245", "<|cite_11|>": "ss-171...
2209.03927
<|paper_start|> Title: Sequential Information Design: Learning to Persuade in the Dark Abstract: Sequential Information Design: Learning to Persuade in the Dark: We study a repeated information design problem faced by an informed sender who tries to influence the behavior of a self-interested receiver. We consider sett...
[ "<|reference_start|> Persuading voters: In a symmetric information voting model, an individual (politician) can influence voters’ choices by strategically designing a policy experiment (public signal). We characterize the politician’s optimal experiment. With a non-unanimous voting rule, she exploits voters’ hetero...
[ 2, 18, 22, 25 ]
{"<|cite_2|>": "ss-1064876", "<|cite_1|>": "ss-1413469", "<|multi_cite_3_1|>": "ss-1253892", "<|multi_cite_3_2|>": "arxiv-308862", "<|multi_cite_3_3|>": "arxiv-220755", "<|multi_cite_4_1|>": "arxiv-88904", "<|multi_cite_4_2|>": "ss-968555", "<|multi_cite_5_1|>": "ss-1253880", "<|multi_cite_5_2|>": "ss-968555", "<|multi...
1908.07162
<|paper_start|> Title: Discriminative Topic Mining via Category-Name Guided Text Embedding Abstract: Discriminative Topic Mining via Category-Name Guided Text Embedding: Mining a set of meaningful and distinctive topics automatically from massive text corpora has broad applications. Existing topic models, however, typi...
[ "<|reference_start|> {Probabilistic Latent Semantic Indexing: Probabilistic Latent Semantic Indexing is a novel approach to automated document indexing which is based on a statistical latent class model for factor analysis of count data. Fitted from a training corpus of text documents by a generalization of the Exp...
[ 12, 17, 30, 38 ]
{"<|multi_cite_1_1|>": "ss-1126779", "<|multi_cite_1_2|>": "ss-1067570", "<|multi_cite_2_1|>": "ss-1453424", "<|multi_cite_2_2|>": "ss-1256249", "<|multi_cite_3_1|>": "ss-803516", "<|multi_cite_3_2|>": "ss-995508", "<|cite_4|>": "ss-1519691", "<|cite_5|>": "ss-1126779", "<|cite_6|>": "ss-1295902", "<|cite_7|>": "ss-110...
2409.03519
<|paper_start|> Title: Tissue Concepts: supervised foundation models in computational pathology Abstract: Tissue Concepts: supervised foundation models in computational pathology: Due to the increasing workload of pathologists, the need for automation to support diagnostic tasks and quantitative biomarker evaluation is...
[ "<|reference_start|> Planning for tomorrow: global cancer incidence and the role of prevention 2020–2070: <|reference_end|>", "<|reference_start|> Aligning artificial intelligence with climate change mitigation: <|reference_end|>", "<|reference_start|> Multitask Learning: <|reference_end|>", "<|reference_s...
[ 3, 12, 16, 34 ]
{"<|cite_1|>": "ss-2370697", "<|cite_2|>": "ss-2370698", "<|multi_cite_3_1|>": "ss-2370699", "<|multi_cite_3_2|>": "ss-2370700", "<|multi_cite_3_3|>": "ss-823202", "<|multi_cite_4_1|>": "ss-2547648", "<|multi_cite_4_2|>": "arxiv-223239", "<|cite_5|>": "ss-841780", "<|multi_cite_6_1|>": "ss-677757", "<|multi_cite_6_2|>"...
2303.03376
<|paper_start|> Title: MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning Abstract: MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning: Open-ended learning methods that automatically generate a curriculum of increasingly challenging tasks serve as a promising avenue...
[ "<|reference_start|> Neural Auto-Curricula in Two-Player Zero-Sum Games: <|reference_end|>", "<|reference_start|> A general reinforcement learning algorithm that\nmasters chess, shogi, and Go through self-play: One program to rule them all Computers can beat humans at increasingly complex games, including chess ...
[ 13, 16, 45, 46 ]
{"<|multi_cite_1_1|>": "ss-679381", "<|multi_cite_1_2|>": "arxiv-239288", "<|multi_cite_1_3|>": "ss-814844", "<|multi_cite_2_1|>": "ss-805362", "<|multi_cite_2_2|>": "arxiv-235062", "<|multi_cite_3_1|>": "arxiv-193696", "<|multi_cite_3_2|>": "arxiv-321317", "<|cite_4|>": "arxiv-357444", "<|multi_cite_5_1|>": "arxiv-188...
2312.10934
<|paper_start|> Title: APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation Abstract: APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation: API documentation is often the most trusted resource f...
[ "<|reference_start|> Beyond Accuracy: Assessing Software Documentation Quality: Good software documentation encourages good software engineering, but the meaning of \"good\" documentation is vaguely defined in the software engineering literature. To clarify this ambiguity, we draw on work from the data and informat...
[ 8, 24, 27, 32 ]
{"<|multi_cite_1_1|>": "ss-723028", "<|multi_cite_1_2|>": "ss-938338", "<|multi_cite_1_3|>": "arxiv-321699", "<|cite_2|>": "ss-1065125", "<|cite_4|>": "ss-713585", "<|multi_cite_5_1|>": "ss-1914545", "<|multi_cite_5_2|>": "ss-723023", "<|multi_cite_5_3|>": "ss-907621", "<|multi_cite_5_4|>": "arxiv-279936", "<|multi_cit...
2106.04689
<|paper_start|> Title: Learning to Price Against a Moving Target Abstract: Learning to Price Against a Moving Target: In the Learning to Price setting, a seller posts prices over time with the goal of maximizing revenue while learning the buyer's valuation. This problem is very well understood when values are stationar...
[ "<|reference_start|> Feature-based dynamic pricing: We consider the problem faced by a firm that receives highly differentiated products in an online fashion and needs to price them in order to sell them to its customer base. Products are described by vectors of features and the market value of each product is line...
[ 4, 9, 14, 20 ]
{"<|multi_cite_9_1|>": "ss-1253899", "<|multi_cite_9_2|>": "arxiv-65909", "<|multi_cite_9_3|>": "arxiv-165293", "<|multi_cite_10_1|>": "ss-1253918", "<|multi_cite_10_2|>": "ss-1253919", "<|multi_cite_10_3|>": "arxiv-109236", "<|multi_cite_10_4|>": "arxiv-154313", "<|multi_cite_10_5|>": "arxiv-251826", "<|cite_1|>": "ar...
2310.03814-0
<|paper_start|> Title: Optimal Control of District Cooling Energy Plant with Reinforcement Learning and MPC Abstract: Optimal Control of District Cooling Energy Plant with Reinforcement Learning and MPC: We consider the problem of optimal control of district cooling energy plants (DCEPs) consisting of multiple chillers...
[ "<|reference_start|> Learn to chill: Intelligent chiller scheduling using meta-learning and deep reinforcement learning: Centralized chiller plants with multiple chillers are typically over-provisioned. Therefore, intelligent scheduling is required for the supply (operating chillers) to efficiently meet the demand ...
[ 50, 51, 55, 58 ]
{"<|multi_cite_2_3|>": "ss-1172481", "<|multi_cite_2_4|>": "ss-827833", "<|multi_cite_2_5|>": "ss-827834", "<|multi_cite_2_6|>": "ss-827835", "<|multi_cite_2_7|>": "ss-827836", "<|multi_cite_3_1|>": "ss-915927", "<|multi_cite_3_2|>": "ss-1667700", "<|multi_cite_3_3|>": "ss-1414915", "<|multi_cite_3_4|>": "ss-827837", "...
2108.00637
<|paper_start|> Title: From "study with me" to study with you: how activities of Study With Me livestream on Bilibili facilitate SRL community Abstract: From "study with me" to study with you: how activities of Study With Me livestream on Bilibili facilitate SRL community: It has become a trend to use study with me (SW...
[ "<|reference_start|> lofi hip hop radio - beats to relax/study to: “lofi hip-hop radio: beats to relax/study to” by Justin Wang is both a synopsis for and an analysis of a subgenre of hiphop which has only recently risen to popularity. In his analysis, Wang discusses some of lo-fi music's greatest influences, mainl...
[ 0, 1, 2, 3 ]
{"<|cite_3|>": "ss-722971", "<|cite_7|>": "ss-722972", "<|cite_8|>": "ss-1205821", "<|cite_10|>": "ss-722973"}
2312.02902-0
<|paper_start|> Title: HeadGaS: Real-Time Animatable Head Avatars via 3D Gaussian Splatting Abstract: HeadGaS: Real-Time Animatable Head Avatars via 3D Gaussian Splatting: 3D head animation has seen major quality and runtime improvements over the last few years, particularly empowered by the advances in differentiable ...
[ "<|reference_start|> Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction: We present dynamic neural radiance fields for modeling the appearance and dynamics of a human face. Digitally modeling and reconstructing a talking human is a key building-block for a variety of applications. Especial...
[ 4, 16, 18, 50 ]
{"<|multi_cite_1_1|>": "ss-1225817", "<|multi_cite_1_2|>": "ss-678868", "<|multi_cite_1_3|>": "ss-995116", "<|multi_cite_2_1|>": "arxiv-384947", "<|multi_cite_2_2|>": "arxiv-308034", "<|multi_cite_3_1|>": "arxiv-384947", "<|multi_cite_3_2|>": "arxiv-469944", "<|cite_4|>": "arxiv-453141", "<|cite_5|>": "arxiv-453141", "...
2210.04665
<|paper_start|> Title: Towards Developing and Analysing Metric-Based Software Defect Severity Prediction Model Abstract: Towards Developing and Analysing Metric-Based Software Defect Severity Prediction Model: In a critical software system, the testers have to spend an enormous amount of time and effort to maintain the...
[ "<|reference_start|> Predicting the severity of a reported bug: The severity of a reported bug is a critical factor in deciding how soon it needs to be fixed. Unfortunately, while clear guidelines exist on how to assign the severity of a bug, it remains an inherent manual process left to the person reporting the bu...
[ 7, 9, 15, 17 ]
{"<|multi_cite_1_1|>": "ss-1291812", "<|multi_cite_1_2|>": "ss-1773967", "<|cite_2|>": "ss-1291812", "<|multi_cite_3_1|>": "ss-1516694", "<|multi_cite_3_2|>": "ss-2348918", "<|multi_cite_3_3|>": "ss-2348919", "<|multi_cite_4_1|>": "ss-1274710", "<|multi_cite_4_2|>": "ss-1274709", "<|multi_cite_4_3|>": "ss-2348920", "<|...
1811.05251
<|paper_start|> Title: SVM-Based Sea-Surface Small Target Detection: A False-Alarm-Rate-Controllable Approach Abstract: SVM-Based Sea-Surface Small Target Detection: A False-Alarm-Rate-Controllable Approach: In this letter, we consider the varying detection environments to address the problem of detecting small targets...
[ "<|reference_start|> Marine Wireless Big Data: Efficient Transmission, Related Applications, and Challenges: The vast volume of marine wireless sampling data and its continuously explosive growth herald the coming of the era of marine wireless big data. Two challenges imposed by these data are how to fast, reliably...
[ 0, 5, 6, 11 ]
{"<|cite_1|>": "arxiv-136996", "<|cite_2|>": "arxiv-136996", "<|cite_3|>": "ss-1033129", "<|cite_4|>": "ss-1033130", "<|cite_5|>": "ss-2163619", "<|cite_6|>": "ss-1033130", "<|cite_7|>": "ss-2163619", "<|cite_8|>": "ss-1636682", "<|multi_cite_9_1|>": "ss-1033131", "<|multi_cite_9_2|>": "ss-1033132", "<|multi_cite_9_3|>...