wanyu/IteraTeR_v2 huggingface dataset:
Original:  Although previous approaches have tackled this problem in an automatic manner, they often generate imperfect outputs because their enhancements are available only in limited cases , such as having a high contrast of gray-scale value in an input image.
Revised:  Although previous approaches have tackled this problem in an automatic manner, they often generate imperfect outputs because their enhancements are available only in limited cases , such as having a high contrast of gray-scale values are given in an input image.
Edit intent: clarity
Original:  Instead , leveraging user interactions would be a promising approach , since it can help the edge correction in the desired regions .
Revised:  Alternatively , leveraging user interactions would be a promising approach , since it can help the edge correction in the desired regions .
Edit intent: coherence
Original:  Instead , leveraging user interactions would be a promising approach , since it can help the edge correction in the desired regions .
Revised:  Instead , leveraging user interactions would be a promising approach for solving this color-breeding artifacts .
Edit intent: clarity
Original:  In this paper, we propose a novel edge-enhancing framework for the regions of interest , by utilizing user scribbles that indicate where to enhance.
Revised:  In this paper, we propose a novel edge-enhancing network for the regions of interest , by utilizing user scribbles that indicate where to enhance.
Edit intent: clarity
Original:  In this paper, we propose a novel edge-enhancing framework for the regions of interest , by utilizing user scribbles that indicate where to enhance.
Revised:  In this paper, we propose a novel edge-enhancing framework for the regions of interest via simple user scribbles indicating where to enhance.
Edit intent: clarity
Original:  Our method requires minimal user effort to obtain satisfactory enhancements . Experimental results on various datasets demonstrate that our interactive approach has outstanding performance in improving color-bleeding artifacts against the existing baselines  .
Revised:  In addition, our method requires a minimal amount of effort from users for their satisfactory enhancement . Experimental results on various datasets demonstrate that our interactive approach has outstanding performance in improving color-bleeding artifacts against the existing baselines .
Edit intent: clarity
Original:  Our method requires minimal user effort to obtain satisfactory enhancements . Experimental results on various datasets demonstrate that our interactive approach has outstanding performance in improving color-bleeding artifacts against the existing baselines  .
Revised:  Our method requires minimal user effort to obtain satisfactory enhancements . Experimental results demonstrate that our interactive approach has outstanding performance in improving color-bleeding artifacts against the existing baselines .
Edit intent: clarity
Original:  Our method requires minimal user effort to obtain satisfactory enhancements . Experimental results on various datasets demonstrate that our interactive approach has outstanding performance in improving color-bleeding artifacts against the existing baselines  .
Revised:  Our method requires minimal user effort to obtain satisfactory enhancements . Experimental results on various datasets demonstrate that our interactive approach has outstanding performance in improving color-bleeding artifacts compared to the existing baselines .
Edit intent: fluency
Original:  Our method requires minimal user effort to obtain satisfactory enhancements . Experimental results on various datasets demonstrate that our interactive approach has outstanding performance in improving color-bleeding artifacts against the existing baselines  .
Revised:  Our method requires minimal user effort to obtain satisfactory enhancements . Experimental results on various datasets demonstrate that our interactive approach has outstanding performance in improving color-bleeding artifacts against the existing baselines across various datasets .
Edit intent: clarity
Original: The intelligent reflecting surface (IRS) is a promising new paradigm in wireless communications to meet the growing demand for high-speed connectivity in next-generation mobile networks.
Revised: The intelligent reflecting surface (IRS) is a promising new paradigm in wireless communications for meeting the growing connectivity demands in next-generation mobile networks.
Edit intent: clarity
Original:  In this work, we show for the first time that the IRS provides a practical low-cost toolkit for attackers to easily perform complex signal manipulation attacks on the physical layer in real time.
Revised:  In this work, we demonstrate for the first time that the IRS provides a practical low-cost toolkit for attackers to easily perform complex signal manipulation attacks on the physical layer in real time.
Edit intent: fluency
Original:  Here, an adversary leverages an IRS to rapidly vary the electromagnetic propagation environment to disturb legitimate receivers.
Revised:  Here, an adversary leverages the IRS to rapidly vary the electromagnetic propagation environment to disturb legitimate receivers.
Edit intent: fluency
Original:  We thoroughly investigate the ERA using the popular orthogonal frequency division multiplexing ~ (OFDM) modulation as an example.
Revised:  We thoroughly investigate the ERA in wireless systems based on the widely employed orthogonal frequency division multiplexing ~ (OFDM) modulation as an example.
Edit intent: clarity
Original:  We thoroughly investigate the ERA using the popular orthogonal frequency division multiplexing ~ (OFDM) modulation as an example.
Revised:  We thoroughly investigate the ERA using the popular orthogonal frequency division multiplexing (OFDM) modulation as an example.
Edit intent: fluency
Original:  Finally, we implement an attacker setup and demonstrate a practical ERA to slow down a Wi-Fi network.
Revised:  Finally, we implement an attacker setup and demonstrate a practical ERA to slow down an entire Wi-Fi network.
Edit intent: clarity
Original:  In this paper, we use zonotopes to achieve more scalable algorithms that under-approximate backward reachable sets for uncertain linear systems  .
Revised:  In this paper, we use zonotopes to achieve more scalable algorithms that under-approximate backward reachable sets of uncertain linear systems .
Edit intent: fluency
Original:  The proposed approach is evaluated against existing approaches using randomly generated instances , and illustrated with an aircraft position control system .
Revised:  The proposed approach is evaluated against existing approaches using randomly generated instances and illustrated with an aircraft position control system .
Edit intent: fluency
Original:  The proposed approach is evaluated against existing approaches using randomly generated instances , and illustrated with an aircraft position control system .
Revised:  The proposed approach is evaluated against existing approaches using randomly generated instances , and illustrated with several examples .
Edit intent: clarity
Original:  Here we show that  hierarchical, convolutional Hebbian learning can be implemented almost trivially with modern deep learning frameworks, by using specific losses whose gradients produce exactly the desired Hebbian updates.
Revised:  Here we show that Hebbian learning in hierarchical, convolutional Hebbian learning can be implemented almost trivially with modern deep learning frameworks, by using specific losses whose gradients produce exactly the desired Hebbian updates.
Edit intent: clarity
Original:  Here we show that  hierarchical, convolutional Hebbian learning can be implemented almost trivially with modern deep learning frameworks, by using specific losses whose gradients produce exactly the desired Hebbian updates.
Revised:  Here we show that hierarchical, convolutional neural networks can be implemented almost trivially with modern deep learning frameworks, by using specific losses whose gradients produce exactly the desired Hebbian updates.
Edit intent: clarity
Original: Although cyberattacks on machine learning (ML) production systems can be destructive, many industry practitioners are ill equipped, lacking tactical and strategic tools that would allow them to analyze , detect, protect against, and respond to cyberattacks targeting their ML-based systems.
Revised: Although cyberattacks on machine learning (ML) production systems can be harmful, today, security practitioners are ill equipped, lacking tactical and strategic tools that would allow them to analyze , detect, protect against, and respond to cyberattacks targeting their ML-based systems.
Edit intent: clarity
Original: Although cyberattacks on machine learning (ML) production systems can be destructive, many industry practitioners are ill equipped, lacking tactical and strategic tools that would allow them to analyze , detect, protect against, and respond to cyberattacks targeting their ML-based systems.
Revised: Although cyberattacks on machine learning (ML) production systems can be destructive, many industry practitioners are ill equipped, lacking methodologies and tactical tools that would allow them to analyze , detect, protect against, and respond to cyberattacks targeting their ML-based systems.
Edit intent: clarity
Original: Although cyberattacks on machine learning (ML) production systems can be destructive, many industry practitioners are ill equipped, lacking tactical and strategic tools that would allow them to analyze , detect, protect against, and respond to cyberattacks targeting their ML-based systems.
Revised: Although cyberattacks on machine learning (ML) production systems can be destructive, many industry practitioners are ill equipped, lacking tactical and strategic tools that would allow them to analyze the security risks of their ML-based systems.
Edit intent: clarity
Original:  In this paper, we take a significant step toward securing ML production systems by integrating these systems and their vulnerabilities into cybersecurity risk assessment frameworks . Specifically, we performed a comprehensive threat analysis of ML production systems and developed an extension to the MulVAL attack graph generation and analysis framework to incorporate cyberattacks on ML production systems.
Revised:  In this paper, we performed a comprehensive threat analysis of ML production systems by integrating these systems and their vulnerabilities into cybersecurity risk assessment frameworks . Specifically, we performed a comprehensive threat analysis of ML production systems and developed an extension to the MulVAL attack graph generation and analysis framework to incorporate cyberattacks on ML production systems.
Edit intent: clarity
Original:  Using the proposed extension, security practitioners can apply attack graph analysis methods in environments that include ML components , thusproviding security experts with a practical tool for evaluating the impact and quantifying the risk of a cyberattack targeting an ML production system.
Revised:  Using the extension, security practitioners can apply attack graph analysis methods in environments that include ML components , thusproviding security experts with a practical tool for evaluating the impact and quantifying the risk of a cyberattack targeting an ML production system.
Edit intent: clarity
Original:  Using the proposed extension, security practitioners can apply attack graph analysis methods in environments that include ML components , thusproviding security experts with a practical tool for evaluating the impact and quantifying the risk of a cyberattack targeting an ML production system.
Revised:  Using the proposed extension, security practitioners can apply attack graph analysis methods in environments that include ML components ; thus, providing security practitioners with a methodological and practical tool for evaluating the impact and quantifying the risk of a cyberattack targeting an ML production system.
Edit intent: clarity
Original:  Although the use of a large number of legs can overcome these problems, it makes the body long and leads to many contact legs being constrained on the ground to support the long body, which impedes maneuverability.
Revised:  Although the use of a large number of legs can overcome these problems, it makes the body long and leads to many legs being constrained on the ground to support the long body, which impedes maneuverability.
Edit intent: clarity
Original:  Although the use of a large number of legs can overcome these problems, it makes the body long and leads to many contact legs being constrained on the ground to support the long body, which impedes maneuverability.
Revised:  Although the use of a large number of legs can overcome these problems, it makes the body long and leads to many contact legs being constrained to contact with the ground to support the long body, which impedes maneuverability.
Edit intent: clarity
Original:  To improve the locomotion maneuverability of the robots, the present study focuses on dynamic instability, which induces rapid and large movement changes, and uses a 12-legged robot with  flexible body axis.
Revised:  To improve the locomotion maneuverability of such robots, the present study focuses on dynamic instability, which induces rapid and large movement changes, and uses a 12-legged robot with flexible body axis.
Edit intent: clarity
Original:  To improve the locomotion maneuverability of the robots, the present study focuses on dynamic instability, which induces rapid and large movement changes, and uses a 12-legged robot with  flexible body axis.
Revised:  To improve the locomotion maneuverability of the robots, the present study focuses on dynamic instability, which induces rapid and large movement changes, and uses a 12-legged robot with a flexible body axis.
Edit intent: fluency
Original:  Furthermore, we developed a simple controller based on the Hopf bifurcation and showed that the straight walk instability facilitates the turning of the robot.
Revised:  Furthermore, we developed a simple controller based on the Hopf bifurcation and showed that the instability facilitates the turning of the robot.
Edit intent: clarity
Original:  In this study, we newly found that the straight walk becomes unstable through pitchfork bifurcation when the body-axis flexibility is changed in a different way from that in our previous work.
Revised:  In this study, we newly found that the straight walk becomes unstable through pitchfork bifurcation when the body-axis flexibility is changed in a way different from that in our previous work.
Edit intent: fluency
Original:  The pitchfork bifurcation not only induces the straight walk instability but also the transition into the curved walk, whose curvature can be controlled by the body-axis flexibility.
Revised:  In addition, the pitchfork bifurcation induces a transition into a curved walk, whose curvature can be controlled by the body-axis flexibility.
Edit intent: coherence
Original:  We developed a simple controller based on the pitchfork-bifurcation characteristics and demonstrated that the robot can perform a turning maneuver superior to  the previous controller based on the Hopf bifurcation .
Revised:  We developed a simple controller based on the pitchfork-bifurcation characteristics and demonstrated that the robot can perform a turning maneuver superior to that with the previous controller based on the Hopf bifurcation .
Edit intent: clarity
Original:  We developed a simple controller based on the pitchfork-bifurcation characteristics and demonstrated that the robot can perform a turning maneuver superior to  the previous controller based on the Hopf bifurcation .
Revised:  We developed a simple controller based on the pitchfork-bifurcation characteristics and demonstrated that the robot can perform a turning maneuver superior to the previous controller .
Edit intent: coherence
Original: Point clouds have attracted increasing attention as a natural representation of 3D shapes . Significant progress has been made in developing methods for point cloud analysis, which often requires costly human annotation as supervision in practice .
Revised: Point clouds have attracted increasing attention . Significant progress has been made in developing methods for point cloud analysis, which often requires costly human annotation as supervision in practice .
Edit intent: clarity
Original: Point clouds have attracted increasing attention as a natural representation of 3D shapes . Significant progress has been made in developing methods for point cloud analysis, which often requires costly human annotation as supervision in practice .
Revised: Point clouds have attracted increasing attention as a natural representation of 3D shapes . Significant progress has been made in methods for point cloud analysis, which often requires costly human annotation as supervision in practice .
Edit intent: clarity
Original: Point clouds have attracted increasing attention as a natural representation of 3D shapes . Significant progress has been made in developing methods for point cloud analysis, which often requires costly human annotation as supervision in practice .
Revised: Point clouds have attracted increasing attention as a natural representation of 3D shapes . Significant progress has been made in developing methods for point cloud analysis, which often requires costly human annotation as supervision .
Edit intent: clarity
Original:  Such self-contrastive learning is well aligned with the emerging paradigm of self-supervised learning for point cloud analysis.
Edit intent: coherence
Original:  On the other hand, we actively learn hard negative samples that are close to positive samples in the representation space for discriminative feature learning , which are sampled conditional on each anchor patch leveraging on the degree of self-similarity .
Revised:  On the other hand, we actively learn hard negative samples that are close to positive samples for discriminative feature learning , which are sampled conditional on each anchor patch leveraging on the degree of self-similarity .
Edit intent: clarity
Original:  On the other hand, we actively learn hard negative samples that are close to positive samples in the representation space for discriminative feature learning , which are sampled conditional on each anchor patch leveraging on the degree of self-similarity .
Revised:  On the other hand, we actively learn hard negative samples that are close to positive samples in the representation space for discriminative feature learning .
Edit intent: coherence
Original: This paper studies probability distributions ofpenultimate activations of classification networks.
Revised: This paper studies probability distributions of penultimate activations of classification networks.
Edit intent: fluency
Original:  Our "Partition and Code" framework entails three steps: first, a partitioning algorithm decomposes the graph into elementary structures , then these are mapped to the elements of a small dictionary on which we learn a probability distribution, and finally, an entropy encoder translates the representation into bits.
Revised:  Our "Partition and Code" framework entails three steps: first, a partitioning algorithm decomposes the graph into subgraphs , then these are mapped to the elements of a small dictionary on which we learn a probability distribution, and finally, an entropy encoder translates the representation into bits.
Edit intent: clarity
Original:  Moreover, we show that , under the same conditions, PnC achieves compression gains w.r.t. the baselines that grow either linearly or quadratically with the number of vertices.
Revised:  Moreover, we show that , under the same conditions, PnC achieves compression gains that grow either linearly or quadratically with the number of vertices.
Edit intent: clarity
Original:  Our algorithms are quantitatively evaluated on diverse real-world networks obtaining significant performance improvements with respect to different families of non-parametric and parametric graph compressors .
Revised:  Empirically, PnC yields significant compression improvements on diverse real-world networks obtaining significant performance improvements with respect to different families of non-parametric and parametric graph compressors .
Edit intent: clarity
Original:  Our algorithms are quantitatively evaluated on diverse real-world networks obtaining significant performance improvements with respect to different families of non-parametric and parametric graph compressors .
Revised:  Our algorithms are quantitatively evaluated on diverse real-world networks .
Edit intent: clarity
Original:  This recovers the conditional entropy and a closely related information-theoretic measure that we call ` conditional information loss.
Revised:  This recovers the conditional entropy and a closely related information-theoretic measure that we call conditional information loss.
Edit intent: fluency
Original:  ' Although not functorial, these information measures are semi-functorial, a concept we introduce that is definable in any Markov category.
Revised:  Although not functorial, these information measures are semi-functorial, a concept we introduce that is definable in any Markov category.
Edit intent: fluency
Original:  We also introduce the notion of an ` entropic Bayes' rule ' for information measures, and we provide a characterization of conditional entropy in terms of this rule.
Revised:  We also introduce the notion of an entropic Bayes' rule ' for information measures, and we provide a characterization of conditional entropy in terms of this rule.
Edit intent: fluency
Original:  We also introduce the notion of an ` entropic Bayes' rule ' for information measures, and we provide a characterization of conditional entropy in terms of this rule.
Revised:  We also introduce the notion of an ` entropic Bayes' rule for information measures, and we provide a characterization of conditional entropy in terms of this rule.
Edit intent: fluency
Original: In this work we obtain results related to the approximation of h-dimensional dominant subspaces and low rank approximations of matrices \mathbf A\in\mathbb K^{m\times n} (where \mathbb K=\mathbb R or \mathbb C) in case there is no singular gap  , i.e. if \sigma_h=h+1 (where \sigma_1\geq \ldots\geq \sigma_p\geq 0 denote the singular values of \mathbf A, and p=\min\{m,n\}).
Revised: In this work we obtain results related to the approximation of h-dimensional dominant subspaces and low rank approximations of matrices A\in\mathbb K^{m\times n} (where \mathbb K=\mathbb R or \mathbb C) in case there is no singular gap , i.e. if \sigma_h=h+1 (where \sigma_1\geq \ldots\geq \sigma_p\geq 0 denote the singular values of \mathbf A, and p=\min\{m,n\}).
Edit intent: fluency
Original: In this work we obtain results related to the approximation of h-dimensional dominant subspaces and low rank approximations of matrices \mathbf A\in\mathbb K^{m\times n} (where \mathbb K=\mathbb R or \mathbb C) in case there is no singular gap  , i.e. if \sigma_h=h+1 (where \sigma_1\geq \ldots\geq \sigma_p\geq 0 denote the singular values of \mathbf A, and p=\min\{m,n\}).
Revised: In this work we obtain results related to the approximation of h-dimensional dominant subspaces and low rank approximations of matrices \mathbf A\in\mathbb K^{m\times n} (where \mathbb K=\mathbb R or \mathbb C) in case there is no singular gap at the index h , i.e. if \sigma_h=h+1 (where \sigma_1\geq \ldots\geq \sigma_p\geq 0 denote the singular values of \mathbf A, and p=\min\{m,n\}).
Edit intent: clarity