SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8151–8175 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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified