Papers
Sun 1 May 2022
72 papers
- Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human DriversEnd-to-end autonomous driving → Cooperative and V2X driving
- Preserve Pre-trained Knowledge: Transfer Learning With Self-Distillation For Action RecognitionKnowledge distillation → General knowledge distillation methods
- Nearest Neighbor Knowledge Distillation for Neural Machine TranslationKnowledge distillation → Knowledge distillation for LLMs
- MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoningLLM reasoning → Reasoning benchmarks and evaluation
- Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning
- DDDM: a Brain-Inspired Framework for Robust Classification
- Fine-Grained Address Segmentation for Attention-Based Variable-Degree Prefetching
- Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events
- Processing Network Controls via Deep Reinforcement Learning
- A New Dimensionality Reduction Method Based on Hensel's Compression for Privacy Protection in Federated Learning
- Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize
- Conditional β-VAE for De Novo Molecular Generation
- A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Predictions
- Using a novel fractional-order gradient method for CNN back-propagation
- Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning
- Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials
- Adversarial Plannning
- Experimental quantum pattern recognition in IBMQ and diamond NVs
- Gender Bias in Masked Language Models for Multiple Languages
- Federated Semi-Supervised Classification of Multimedia Flows for 3D Networks
- Large-Scale Multi-Document Summarization with Information Extraction and Compression
- COUCH: Towards Controllable Human-Chair Interactions
- Enumeration Classes Defined by Circuits
- Can Information Behaviour Inform Machine Learning?
- Generalized Reference Kernel for One-class Classification
- Deep vs. Shallow Learning: A Benchmark Study in Low Magnitude Earthquake Detection
- Deep Learning with Logical Constraints
- Accurate non-stationary short-term traffic flow prediction method
- Conventions and Mutual Expectations -- understanding sources for web genres
- An Early Fault Detection Method of Rotating Machines Based on Multiple Feature Fusion with Stacking Architecture
- Textual Stylistic Variation: Choices, Genres and Individuals
- The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body Estimation
- Domain Adaptation meets Individual Fairness. And they get along
- Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation
- CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction
- On the speed of uniform convergence in Mercer's theorem
- Bilingual End-to-End ASR with Byte-Level Subwords
- Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs
- A recipe of training neural network-based LDPC decoders
- Ridgeless Regression with Random Features
- None Class Ranking Loss for Document-Level Relation Extraction
- A Survey on Distributed Online Optimization and Game
- Reward Systems for Trustworthy Medical Federated Learning
- Shape Change and Control of Pressure-based Soft Agents
- Conceptualizing Treatment Leakage in Text-based Causal Inference
- A Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction
- Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
- An Analysis of the Features Considerable for NFT Recommendations
- The use of Data Augmentation as a technique for improving neural network accuracy in detecting fake news about COVID-19
- The Ludii Game Description Language is Universal
- Molecular Identification from AFM images using the IUPAC Nomenclature and Attribute Multimodal Recurrent Neural Networks
- Adaptive Composite Online Optimization: Predictions in Static and Dynamic Environments
- ETMS@IITKGP at SemEval-2022 Task 10: Structured Sentiment Analysis Using A Generative Approach
- Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation?
- Reinforced Swin-Convs Transformer for Underwater Image Enhancement
- Drone Flocking Optimization using NSGA-II and Principal Component Analysis
- Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers
- TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources
- UTC: A Unified Transformer with Inter-Task Contrastive Learning for Visual Dialog
- Uniform Manifold Approximation with Two-phase Optimization
- Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions
- A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
- Convex Combination Consistency between Neighbors for Weakly-supervised Action Localization
- Learning user-defined sub-goals using memory editing in reinforcement learning
- ELQA: A Corpus of Metalinguistic Questions and Answers about English
- Neural Network Optimal Feedback Control with Guaranteed Local Stability
- Abnormal-aware Multi-person Evaluation System with Improved Fuzzy Weighting
- Crude Oil-related Events Extraction and Processing: A Transfer Learning Approach
- Geometric Graph Representation with Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition
- The Cross-lingual Conversation Summarization Challenge
- Detecting COVID-19 Conspiracy Theories with Transformers and TF-IDF
- Traffic Context Aware Data Augmentation for Rare Object Detection in Autonomous Driving