SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8101–8125 of 10033 papers

TitleStatusHype
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
Distractor Generation for Multiple Choice Questions Using Learning to RankCode0
Computationally Constructed Concepts: A Machine Learning Approach to Metaphor Interpretation Using Usage-Based Construction Grammatical Cues—0
ECNU at SemEval-2018 Task 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning Methods—0
EmoNLP at SemEval-2018 Task 2: English Emoji Prediction with Gradient Boosting Regression Tree Method and Bidirectional LSTM—0
ECNU at SemEval-2018 Task 10: Evaluating Simple but Effective Features on Machine Learning Methods for Semantic Difference Detection—0
The Dabblers at SemEval-2018 Task 2: Multilingual Emoji Prediction—0
Igevorse at SemEval-2018 Task 10: Exploring an Impact of Word Embeddings Concatenation for Capturing Discriminative Attributes—0
Amrita\_student at SemEval-2018 Task 1: Distributed Representation of Social Media Text for Affects in Tweets—0
Chrono at SemEval-2018 Task 6: A System for Normalizing Temporal Expressions—0
ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learning Models—0
PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and \#hashtags—0
Linguistic Cues to Deception and Perceived Deception in Interview Dialogues—0
EmoIntens Tracker at SemEval-2018 Task 1: Emotional Intensity Levels in \#Tweets—0
Interpreting Deep Learning: The Machine Learning Rorschach Test?—0
A Review of Challenges and Opportunities in Machine Learning for Health—0
Evaluating Reinforcement Learning Algorithms in Observational Health Settings—0
Explaining Explanations: An Overview of Interpretability of Machine LearningCode0
Defending Against Machine Learning Model Stealing Attacks Using Deceptive Perturbations—0
Accurate pedestrian localization in overhead depth images via Height-Augmented HOG—0
On the Spectrum of Random Features Maps of High Dimensional DataCode0
Towards Adversarial Configurations for Software Product Lines—0
Predictive Performance Modeling for Distributed Computing using Black-Box Monitoring and Machine Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified