wanyu/IteraTeR_v2 huggingface dataset:
Original:  The hidden layers of this classifier are hierarchical two-dimensional topographical maps that differ from the conventional Self-Organizing Map in that their organizations are influenced by the context of the learning data .
Revised:  The hidden layers of this classifier are hierarchical two-dimensional topographical maps that differ from the conventional self-organizing maps in that their organizations are influenced by the context of the learning data .
Edit intent: fluency
Original:  In this way we are combining buttom-up and top-down learning in a biological relevant representational learning setting.
Revised:  In this way bottom-up and top-down learning in a biological relevant representational learning setting.
Edit intent: clarity
Original:  In this way we are combining buttom-up and top-down learning in a biological relevant representational learning setting.
Revised:  In this way we are combining buttom-up and top-down learning are combined in a biologically relevant representational learning setting.
Edit intent: clarity
Original: In this paper we combine the strengths of RNNs and SGVB , creating the Variational Recurrent Auto-Encoder (VRAE).
Revised: In this paper we propose a model that combines the strengths of RNNs and SGVB , creating the Variational Recurrent Auto-Encoder (VRAE).
Edit intent: clarity
Original: In this paper we combine the strengths of RNNs and SGVB , creating the Variational Recurrent Auto-Encoder (VRAE).
Revised: In this paper we combine the strengths of RNNs and SGVB : the Variational Recurrent Auto-Encoder (VRAE).
Edit intent: clarity
Original:  This applies to output-sensitive construction of lower envelopes for arbitrary line segments in optimal O(n\log k) time, where k is the output size.
Revised:  This can be applied to output-sensitive construction of lower envelopes for arbitrary line segments in optimal O(n\log k) time, where k is the output size.
Edit intent: clarity
Original:  In an appropriate limit, the model describes standard evolutionary games with both genetic drift and overall population size fluctuations.
Revised:  We show that, in an appropriate limit, the model describes standard evolutionary games with both genetic drift and overall population size fluctuations.
Edit intent: coherence
Original: In this paper, we show that one-way quantum one-counter automaton with zero-error is more powerful than its probabilistic counterpart on promise problems.
Revised: We show that one-way quantum one-counter automaton with zero-error is more powerful than its probabilistic counterpart on promise problems.
Edit intent: clarity
Original:  We have designed a novel form of piece-wise linear activation function that is learned independently for each neuron using standard gradient descent.
Revised:  We have designed a novel form of piecewise linear activation function that is learned independently for each neuron using standard gradient descent.
Edit intent: fluency
Original:  We have designed a novel form of piece-wise linear activation function that is learned independently for each neuron using standard gradient descent.
Revised:  We have designed a novel form of piece-wise linear activation function that is learned independently for each neuron using gradient descent.
Edit intent: clarity
Original:  With this learned activation function we are able to get significant improvements over static rectified linear units, and performance that is competitive with the state of the art on benchmark learning tasks from computer vision and high-energy physics  .
Revised:  With this adaptive activation function, we are able to get significant improvements over static rectified linear units, and performance that is competitive with the state of the art on benchmark learning tasks from computer vision and high-energy physics .
Edit intent: clarity
Original:  With this learned activation function we are able to get significant improvements over static rectified linear units, and performance that is competitive with the state of the art on benchmark learning tasks from computer vision and high-energy physics  .
Revised:  With this learned activation function we are able to improve upon deep neural network architectures composed of static rectified linear units, and performance that is competitive with the state of the art on benchmark learning tasks from computer vision and high-energy physics .
Edit intent: clarity
Original:  With object detectors emerging as a result of learning  scenes, our work demonstrates that the same network can perform both scene recognition and object localization in a single forward-pass, without ever having explicitly learned the notion of objects.
Revised:  With object detectors emerging as a result of learning to recognize scenes, our work demonstrates that the same network can perform both scene recognition and object localization in a single forward-pass, without ever having explicitly learned the notion of objects.
Edit intent: clarity
Original:  With object detectors emerging as a result of learning  scenes, our work demonstrates that the same network can perform both scene recognition and object localization in a single forward-pass, without ever having explicitly learned the notion of objects.
Revised:  With object detectors emerging as a result of learning scenes, our work demonstrates that the same network can perform both scene recognition and object localization in a single forward-pass, without ever having been explicitly taught the notion of objects.
Edit intent: clarity
Original:  To get an insight of phenomena that emerge from complex interactions, we need instruments that can analyze complex interactions of many partssimultaneously .
Revised:  To get a better insight of phenomena that emerge from complex interactions, we need instruments that can analyze complex interactions of many partssimultaneously .
Edit intent: clarity
Original:  To get an insight of phenomena that emerge from complex interactions, we need instruments that can analyze complex interactions of many partssimultaneously .
Revised:  To get an insight of phenomena that emerge from complex interactions, we need instruments that can analyze simultaneously complex interactions between many parts .
Edit intent: clarity
Original:  Here, a simulator modeling different type of economiesis explored in regard to its power in visualizing quantitatively complex aspects affecting the economic dynamics.
Revised:  Here, a simulator modeling different types of economies, is used to visualize complex quantitative aspects that affect economic dynamics.
Edit intent: clarity
Original:  The main conclusions are: 1- Relative simple economic settings produce complex non-linear dynamics and therefore linear regressions are  unsuitable to capture complex economic dynamics;
Revised:  The main conclusions are: 1- Relatively simple economic settings produce complex non-linear dynamics and therefore linear regressions are unsuitable to capture complex economic dynamics;
Edit intent: fluency
Original:  The main conclusions are: 1- Relative simple economic settings produce complex non-linear dynamics and therefore linear regressions are  unsuitable to capture complex economic dynamics;
Revised:  The main conclusions are: 1- Relative simple economic settings produce complex non-linear dynamics and therefore linear regressions are often unsuitable to capture complex economic dynamics;
Edit intent: clarity
Original:  2- Flexible pricing of goods by individual agents according to their micro-environment increases the health and wealth of the society, but price asymmetries between buyers and sellers have strong effects on the economic dynamics ;
Revised:  2- Flexible pricing of goods by individual agents according to their micro-environment increases the health and wealth of the society, but asymmetries in price sensitivity between buyers and sellers have strong effects on the economic dynamics ;
Edit intent: clarity
Original:  3- Prices for goods conferring high risk long term benefits are not tracked efficiently by simple market forces.
Revised:  3- Prices for goods conferring risky long term benefits are not tracked efficiently by simple market forces.
Edit intent: fluency
Original:  4- Division of labor creates synergies that improve enormously the health and wealth of the society by increasing the efficient of economic activity.
Revised:  4- Division of labor creates synergies that improve enormously the health and wealth of the society by increasing the efficiency of economic activity.
Edit intent: fluency
Original:  5- Stochastic modeling might predict some aspects of real economies, but didactic games based based on it might help policy makers and non specialists in grasping the complex dynamics underlying even simple economic settings.
Revised:  5- Stochastic modeling improves our understanding of real economies, but didactic games based based on it might help policy makers and non specialists in grasping the complex dynamics underlying even simple economic settings.
Edit intent: clarity
Original:  5- Stochastic modeling might predict some aspects of real economies, but didactic games based based on it might help policy makers and non specialists in grasping the complex dynamics underlying even simple economic settings.
Revised:  5- Stochastic modeling might predict some aspects of real economies, and didactic games based based on it might help policy makers and non specialists in grasping the complex dynamics underlying even simple economic settings.
Edit intent: fluency
Original:  5- Stochastic modeling might predict some aspects of real economies, but didactic games based based on it might help policy makers and non specialists in grasping the complex dynamics underlying even simple economic settings.
Revised:  5- Stochastic modeling might predict some aspects of real economies, but didactic games based on them might help policy makers and non specialists in grasping the complex dynamics underlying even simple economic settings.
Edit intent: clarity
Original:  As corollaries, we deduce that Plactic monoids of these types have finite derivation type and satisfy the homological finiteness properties left and right FP_\infty.
Revised:  As corollaries, we deduce that plactic monoids of these types have finite derivation type and satisfy the homological finiteness properties left and right FP_\infty.
Edit intent: fluency
Original:  These rewriting systems are then applied to show that Plactic monoids of these types are biautomatic  .
Revised:  These rewriting systems are then applied to show that plactic monoids of these types are biautomatic .
Edit intent: fluency
Original: This paper presents early experiments extending the work of Ba et al. (2014) on recurrent neural models for attention into less constrained visual environments, beginning with fine-grained categorization on the Stanford Dogs data set.
Revised: This paper presents experiments extending the work of Ba et al. (2014) on recurrent neural models for attention into less constrained visual environments, beginning with fine-grained categorization on the Stanford Dogs data set.
Edit intent: clarity
Original:  We present results comparing our model to state-of-the-art in fine-grained categorization as well as state-of-the-art deep visual models .
Revised:  We present competitive results for fine-grained categorization as well as state-of-the-art deep visual models .
Edit intent: clarity
Original: This paper presents experiments extending the work of Ba et al. (2014) on recurrent neural models for attention into less constrained visual environments, beginning with fine-grained categorization on the Stanford Dogs data set.
Revised: This paper presents experiments extending the work of Ba et al. (2014) on recurrent neural models for attention into less constrained visual environments, specifically fine-grained categorization on the Stanford Dogs data set.
Edit intent: clarity
Original:  More importantly, we show that our model learns to direct high resolution attention to the most discriminative regions without any spatial supervision such as bounding boxes . Given a small input window, it is hence able to discriminate fine-grained dog breeds with cheap glances at faces and fur patterns , while avoiding expensive and distracting processing of entire images.
Revised:  More importantly, we show that our model learns to direct high resolution attention to the most discriminative regions without any spatial supervision such as bounding boxes , and it is able to discriminate fine-grained dog breeds with cheap glances at faces and fur patterns , while avoiding expensive and distracting processing of entire images.
Edit intent: coherence
Original: State-of-the-art emergency navigation approaches , which aim to evacuate civilians during a disaster , commonly make decisions in a real-time fashion with respect to one pre-defined algorithm and living sensory data.
Revised: State-of-the-art emergency navigation approaches are designed to evacuate civilians during a disaster , commonly make decisions in a real-time fashion with respect to one pre-defined algorithm and living sensory data.
Edit intent: clarity
Original: State-of-the-art emergency navigation approaches , which aim to evacuate civilians during a disaster , commonly make decisions in a real-time fashion with respect to one pre-defined algorithm and living sensory data.
Revised: State-of-the-art emergency navigation approaches , which aim to evacuate civilians during a disaster based on real-time decisions using a pre-defined algorithm and living sensory data.
Edit intent: clarity
Original: State-of-the-art emergency navigation approaches , which aim to evacuate civilians during a disaster , commonly make decisions in a real-time fashion with respect to one pre-defined algorithm and living sensory data.
Revised: State-of-the-art emergency navigation approaches , which aim to evacuate civilians during a disaster , commonly make decisions in a real-time fashion with respect to one pre-defined algorithm and live sensory data.
Edit intent: fluency
Original:  Hence, fatalities caused by the inappropriate guidance of an approach can only be unveiled until the end of an evacuation process and is impossible to be remedied.
Revised:  Hence, casualties caused by the inappropriate guidance of an approach can only be unveiled until the end of an evacuation process and is impossible to be remedied.
Edit intent: fluency
Original:  Hence, fatalities caused by the inappropriate guidance of an approach can only be unveiled until the end of an evacuation process and is impossible to be remedied.
Revised:  Hence, fatalities caused by the poor decisions and guidance are only apparent at the end of an evacuation process and is impossible to be remedied.
Edit intent: clarity
Original:  Hence, fatalities caused by the inappropriate guidance of an approach can only be unveiled until the end of an evacuation process and is impossible to be remedied.
Revised:  Hence, fatalities caused by the inappropriate guidance of an approach can only be unveiled until the end of the evacuation process and is impossible to be remedied.
Edit intent: fluency
Original:  Hence, fatalities caused by the inappropriate guidance of an approach can only be unveiled until the end of an evacuation process and is impossible to be remedied.
Revised:  Hence, fatalities caused by the inappropriate guidance of an approach can only be unveiled until the end of an evacuation process and cannot then be remedied.
Edit intent: clarity
Original:  Previous research implies that the performance of routing algorithms for evacuation proposes are sensitive to  initial distribution of evacuees, occupancy rate, disaster type as well as disaster location.
Revised:  Previous research shows that the performance of routing algorithms for evacuation proposes are sensitive to initial distribution of evacuees, occupancy rate, disaster type as well as disaster location.
Edit intent: coherence
Original:  Previous research implies that the performance of routing algorithms for evacuation proposes are sensitive to  initial distribution of evacuees, occupancy rate, disaster type as well as disaster location.
Revised:  Previous research implies that the performance of routing algorithms for evacuation purposes are sensitive to initial distribution of evacuees, occupancy rate, disaster type as well as disaster location.
Edit intent: fluency
Original:  Previous research implies that the performance of routing algorithms for evacuation proposes are sensitive to  initial distribution of evacuees, occupancy rate, disaster type as well as disaster location.
Revised:  Previous research implies that the performance of routing algorithms for evacuation proposes are sensitive to the initial distribution of evacuees, occupancy rate, disaster type as well as disaster location.
Edit intent: fluency
Original:  This problem is especially serious in heuristic-based routing algorithms  where results are affected by the configuration of certain parameters.
Revised:  This problem is especially serious in heuristic-based routing algorithms where results are affected by the choice of certain parameters.
Edit intent: clarity
Original:  Therefore, this paper proposes a simulation-based routing algorithm to realise near-optimal evacuations by making use of the high computational power of cloud servers.
Revised:  Therefore, this paper proposes a simulation-based evacuee routing algorithm that optimises evacuation by making use of the high computational power of cloud servers.
Edit intent: clarity
Original:  Rather than guiding evacuees with a routing algorithm directly , a robust Cognitive Packet Network based algorithm is first evaluated via a cloud-based simulator in a faster-than-real-time manner .
Revised:  Rather than guiding evacuees with a predetermined routing algorithm , a robust Cognitive Packet Network based algorithm is first evaluated via a cloud-based simulator in a faster-than-real-time manner .
Edit intent: clarity
Original:  Towards all the perished evacuees in the simulation, a variant of Dijkstra's algorithm is then employed to solve optimal paths for them and all the evacuees will finally follow the desired paths to exits.
Revised:  Towards all the perished evacuees in the simulation, a variant of Dijkstra's algorithm to obtain new safe paths for them and all the evacuees will finally follow the desired paths to exits.
Edit intent: clarity
Original:  Towards all the perished evacuees in the simulation, a variant of Dijkstra's algorithm is then employed to solve optimal paths for them and all the evacuees will finally follow the desired paths to exits.
Revised:  Towards all the perished evacuees in the simulation, a variant of Dijkstra's algorithm is then employed to solve optimal paths for them to exits.
Edit intent: coherence
Original:  Furthermore, the "tsunami of data" phenomenon caused by simultaneous information exchanges among massive mobile devices and cloud servers is avoided as the proposed algorithm can calculate desired paths only based on the initial situation .
Revised:  This approach can be iterated as long as corrective action is still possible .
Edit intent: coherence
Original: Massive MIMO is a promising technique to increase the spectral efficiency (SE) of cellular networks, by deploying antenna arrays with hundreds or thousands of active elements at the base stations and performing phase-coherent transceiver processing.
Revised: Massive MIMO is a promising technique to increase the spectral efficiency (SE) of cellular networks, by deploying antenna arrays with hundreds or thousands of active elements at the base stations and performing coherent transceiver processing.
Edit intent: clarity
Original: This paper presents a convergence analysis on distributed Alternating Direction Method of Multipliers (ADMM) for online convex optimization problems under linear constraints .
Revised: This paper examines online distributed Alternating Direction Method of Multipliers (ADMM) for online convex optimization problems under linear constraints .
Edit intent: clarity
Original: This paper presents a convergence analysis on distributed Alternating Direction Method of Multipliers (ADMM) for online convex optimization problems under linear constraints .
Revised: This paper presents a convergence analysis on distributed Alternating Direction Method of Multipliers (ADMM) .
Edit intent: coherence
Original:  The local cost functions, on the other hand, are assumed to have been broken down into two convex functions, one of which is revealed over time to the decision makers  and one known a priori.
Revised:  The local cost functions, on the other hand, are assumed to have been decomposed into two distinct convex functions, one of which is revealed over time to the decision makers and one known a priori.
Edit intent: clarity
Original:  The local cost functions, on the other hand, are assumed to have been broken down into two convex functions, one of which is revealed over time to the decision makers  and one known a priori.
Revised:  The local cost functions, on the other hand, are assumed to have been broken down into two convex functions, one of which is revealed to the decision makers and one known a priori.
Edit intent: clarity
Original:  We then propose a new performance metric for such  distributed algorithms and explore the rate of convergence of the performance of the sequence of decisions generated by the algorithm as compared with the best fixed decision in hindsight.
Revised:  We then propose a performance metric for such distributed algorithms and explore the rate of convergence of the performance of the sequence of decisions generated by the algorithm as compared with the best fixed decision in hindsight.
Edit intent: clarity
Original:  We then propose a new performance metric for such  distributed algorithms and explore the rate of convergence of the performance of the sequence of decisions generated by the algorithm as compared with the best fixed decision in hindsight.
Revised:  We then propose a new performance metric for such distributed algorithms and explore the performance of the sequence of decisions generated by the algorithm as compared with the best fixed decision in hindsight.
Edit intent: clarity
Original:  A sub-linear upper bound on  regret of the proposed algorithm is presented as a function of the underlying network topology and  linear constraints.
Revised:  A sub-linear upper bound on regret of the proposed algorithm is then obtained that underscores the role of the underlying network topology and linear constraints.
Edit intent: clarity
Original: This paper demonstrates that suitable lateral connections between encoder and decoder  allow higher layers of a deep denoising autoencoder to focus on representing invariant features.
Revised: Suitable lateral connections between encoder and decoder allow higher layers of a deep denoising autoencoder to focus on representing invariant features.
Edit intent: coherence
Original:  This translation was found to be efficient when invariant features were allowed to modulate the strength of the lateral connection.
Revised:  This translation was found to be efficient when invariant features are allowed to modulate the strength of the lateral connection.
Edit intent: fluency
Original:  In regular autoencoders, detailed information needs to be carried through the highest layers but lateral connections from encoder to decoder releave this pressure.
Revised:  In regular autoencoders, detailed information needs to be carried through the highest layers but lateral connections from encoder to decoder relieve this pressure.
Edit intent: fluency
Original:  Here with the help of game theory we show that minimalistic networks designed to maximise the navigation efficiency at minimal cost share basic structural properties of real networks.
Revised:  Using game theory, here we show that minimalistic networks designed to maximise the navigation efficiency at minimal cost share basic structural properties of real networks.
Edit intent: coherence