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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 8151–8200 of 10033 papers

TitleStatusHype
SBAF: A New Activation Function for Artificial Neural Net based Habitability Classification—0
Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications—0
Machine Learning for Yield Curve Feature Extraction: Application to Illiquid Corporate Bonds (Preliminary Draft)—0
A Machine Learning Framework for Stock Selection—0
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark—0
Learning from Exemplars and Prototypes in Machine Learning and Psychology—0
Agreement-based Learning—0
BindsNET: A machine learning-oriented spiking neural networks library in PythonCode0
Learning a Code: Machine Learning for Approximate Non-Linear Coded ComputationCode0
Deploying Customized Data Representation and Approximate Computing in Machine Learning Applications—0
EmoIntens Tracker at SemEval-2018 Task 1: Emotional Intensity Levels in \#Tweets—0
Chrono at SemEval-2018 Task 6: A System for Normalizing Temporal Expressions—0
ECNU at SemEval-2018 Task 10: Evaluating Simple but Effective Features on Machine Learning Methods for Semantic Difference Detection—0
ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learning Models—0
ECNU at SemEval-2018 Task 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning Methods—0
PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and \#hashtags—0
Distractor Generation for Multiple Choice Questions Using Learning to RankCode0
A Review of Challenges and Opportunities in Machine Learning for Health—0
The Dabblers at SemEval-2018 Task 2: Multilingual Emoji Prediction—0
Interpreting Deep Learning: The Machine Learning Rorschach Test?—0
EmoNLP at SemEval-2018 Task 2: English Emoji Prediction with Gradient Boosting Regression Tree Method and Bidirectional LSTM—0
Computationally Constructed Concepts: A Machine Learning Approach to Metaphor Interpretation Using Usage-Based Construction Grammatical Cues—0
Igevorse at SemEval-2018 Task 10: Exploring an Impact of Word Embeddings Concatenation for Capturing Discriminative Attributes—0
Linguistic Cues to Deception and Perceived Deception in Interview Dialogues—0
Amrita\_student at SemEval-2018 Task 1: Distributed Representation of Social Media Text for Affects in Tweets—0
Defending Against Machine Learning Model Stealing Attacks Using Deceptive Perturbations—0
Accurate pedestrian localization in overhead depth images via Height-Augmented HOG—0
Evaluating Reinforcement Learning Algorithms in Observational Health Settings—0
Explaining Explanations: An Overview of Interpretability of Machine LearningCode0
Predictive Performance Modeling for Distributed Computing using Black-Box Monitoring and Machine Learning—0
On the Spectrum of Random Features Maps of High Dimensional DataCode0
Towards Adversarial Configurations for Software Product Lines—0
Teaching Meaningful Explanations—0
Currency exchange prediction using machine learning, genetic algorithms and technical analysis—0
Invariant Representation of Mathematical Expressions—0
Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks—0
Training Medical Image Analysis Systems like Radiologists—0
Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles—0
Machine learning for prediction of extreme statistics in modulation instability—0
Intensive Preprocessing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques—0
Model-based Pricing for Machine Learning in a Data Marketplace—0
Algebraic Expression of Subjective Spatial and Temporal Patterns—0
Reacting to Variations in Product Demand: An Application for Conversion Rate (CR) Prediction in Sponsored Search—0
Training of photonic neural networks through in situ backpropagation—0
Qunatification of Metabolites in MR Spectroscopic Imaging using Machine Learning—0
Automated Verification of Neural Networks: Advances, Challenges and Perspectives—0
Safe learning-based optimal motion planning for automated driving—0
Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-toleranceCode0
Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation—0
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale—0
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Benchmark Results

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1Fb232account and password 100—Unverified