SOTAVerified

Open-Ended Question Answering

Open-ended questions are defined as those that simply pose the question, without imposing any constraints on the format of the response. This distinguishes them from questions with a predetermined answer format.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 501–525 of 796 papers

TitleStatusHype
Self-Paced Deep Reinforcement LearningCode1
Characterizing the memory capacity of transmon qubit reservoirs—0
Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition—0
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?Code2
Stopping Criteria for, and Strong Convergence of, Stochastic Gradient Descent on Bottou-Curtis-Nocedal Functions—0
Distinguishing Cell Phenotype Using Cell EpigenotypeCode0
Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints—0
Asymmetric Gained Deep Image Compression With Continuous Rate AdaptationCode1
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs—0
An Equivalence Between Private Classification and Online Prediction—0
The Spectral Underpinning of word2vec—0
Network-Density-Controlled Decentralized Parallel Stochastic Gradient Descent in Wireless Systems—0
Coherent Gradients: An Approach to Understanding Generalization in Gradient Descent-based Optimization—0
Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic—0
Optimal Signal-Adaptive Trading with Temporary and Transient Price Impact—0
Langevin DQNCode0
Learning Halfspaces with Massart Noise Under Structured Distributions—0
Metric-Free Individual Fairness in Online Learning—0
Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm—0
Think Global, Act Local: Relating DNN generalisation and node-level SNRCode0
Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation—0
Near-Optimal Algorithms for Minimax Optimization—0
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image VotesCode1
Learning functions varying along a central subspace—0
Memory capacity of neural networks with threshold and ReLU activations—0
Show:102550
← PrevPage 21 of 32Next →

No leaderboard results yet.