Papers
Mon 16 May 2022
147 papers
- Neural-Symbolic Models for Logical Queries on Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
- An Empirical Investigation of Representation Learning for ImitationOffline RL and imitation learning from data → Imitation learning methods
- Generalizing to New Tasks via One-Shot Compositional SubgoalsOffline RL and imitation learning from data → Robot manipulation imitation learning
- BBDM: Image-to-image Translation with Brownian Bridge Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced PromptKnowledge distillation → Knowledge distillation for LLMs
- Bridging Sim2Real Gap Using Image Gradients for the Task of End-to-End Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Diffusion Models for Adversarial PurificationDiffusion models → Robustness, privacy and adversarial aspects
- Experimental Validation of Spectral-Spatial Power Evolution Design Using Raman Amplifiers
- Does Crypto Kill? Relationship between Electricity Consumption Carbon Footprints and Bitcoin Transactions
- Fusing Multiscale Texture and Residual Descriptors for Multilevel 2D Barcode Rebroadcasting Detection
- Poincar'e Heterogeneous Graph Neural Networks for Sequential Recommendation
- Prediction of stent under-expansion in calcified coronary arteries using machine-learning on intravascular optical coherence tomography
- Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions
- An Artificial Neural Network Functionalized by Evolution
- Automated Mobility Context Detection with Inertial Signals
- Explanation-Guided Fairness Testing through Genetic Algorithm
- Scalable algorithms for physics-informed neural and graph networks
- Multiscale reconstruction of porous media based on multiple dictionaries learning
- Automatic Error Classification and Root Cause Determination while Replaying Recorded Workload Data at SAP HANA
- Harnessing Multilingual Resources to Question Answering in Arabic
- Partial Product Aware Machine Learning on DNA-Encoded Libraries
- A Survey on Semantics in Automated Data Science
- mathscrH-Consistency Estimation Error of Surrogate Loss Minimizers
- Continual learning on 3D point clouds with random compressed rehearsal
- CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction
- Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery
- Towards Debiasing Translation Artifacts
- An Exponentially Increasing Step-size for Parameter Estimation in Statistical Models
- Expert Systems with Logic#. A Novel Modeling Framework for Logic Programming in an Object-Oriented Context of C#
- Test-Time Adaptation with Shape Moments for Image Segmentation
- TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement
- Budge: a programming language and a theorem prover
- Many Field Packet Classification with Decomposition and Reinforcement Learning
- Sparse Visual Counterfactual Explanations in Image Space
- Meta AI at Arabic Hate Speech 2022: MultiTask Learning with Self-Correction for Hate Speech Classification
- Deep Apprenticeship Learning for Playing Games
- Application of multilayer perceptron with data augmentation in nuclear physics
- The Diversity of Argument-Making in the Wild: from Assumptions and Definitions to Causation and Anecdote in Reddit's "Change My View"
- DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse Additive Models with Feature Division and Decorrelation
- An Extension to Basis-Hypervectors for Learning from Circular Data in Hyperdimensional Computing
- Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows
- Fast and realistic large-scale structure from machine-learning-augmented random field simulations
- On the Difficulty of Defending Self-Supervised Learning against Model Extraction
- Data-Driven Interpolation for Super-Scarce X-Ray Computed Tomography
- Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning
- Power and limitations of single-qubit native quantum neural networks
- Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion
- Loss Landscape Engineering via Data Regulation on PINNs
- Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization
- Physics-informed machine learning techniques for edge plasma turbulence modelling in computational theory and experiment
- Ranking hierarchical multi-label classification results with mLPRs
- Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning
- FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization
- Federated Anomaly Detection over Distributed Data Streams
- GraphHD: Efficient graph classification using hyperdimensional computing
- Natural Language Specifications in Proof Assistants
- CurFi: An automated tool to find the best regression analysis model using curve fitting
- The Primacy Bias in Deep Reinforcement Learning
- Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach
- Gradient-based Counterfactual Explanations using Tractable Probabilistic Models
- JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaging
- Efficient Algorithms for Planning with Participation Constraints
- On the inability of Gaussian process regression to optimally learn compositional functions
- FvOR: Robust Joint Shape and Pose Optimization for Few-view Object Reconstruction
- A Data Cube of Big Satellite Image Time-Series for Agriculture Monitoring
- What company do words keep? Revisiting the distributional semantics of J.R. Firth & Zellig Harris
- Strong Equivalence of TAG and CCG
- The Role of Pseudo-labels in Self-training Linear Classifiers on High-dimensional Gaussian Mixture Data
- Prioritizing Corners in OoD Detectors via Symbolic String Manipulation
- Pest presence prediction using interpretable machine learning
- How Different Groups Prioritize Ethical Values for Responsible AI
- Towards Space-to-Ground Data Availability for Agriculture Monitoring
- HARNet: A Convolutional Neural Network for Realized Volatility Forecasting
- Persian Abstract Meaning Representation: Annotation Guidelines and Gold Standard Dataset
- Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving
- From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
- Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml
- CQR-SQL: Conversational Question Reformulation Enhanced Context-Dependent Text-to-SQL Parsers
- CONSENT: Context Sensitive Transformer for Bold Words Classification
- L3-Net Deep Audio Embeddings to Improve COVID-19 Detection from Smartphone Data
- Conditional Born machine for Monte Carlo event generation
- PUCK: Parallel Surface and Convolution-kernel Tracking for Event-Based Cameras
- Hyperdimensional computing encoding for feature selection on the use case of epileptic seizure detection
- Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
- A Fast Attention Network for Joint Intent Detection and Slot Filling on Edge Devices
- ecpc: An R-package for generic co-data models for high-dimensional prediction
- A Precis of Language Models are not Models of Language
- Taming Continuous Posteriors for Latent Variational Dialogue Policies
- Attacking and Defending Deep Reinforcement Learning Policies
- Model Agnostic Local Explanations of Reject
- Rethinking Reinforcement Learning based Logic Synthesis
- Scalable Vehicle Re-Identification via Self-Supervision
- Noise-Tolerant Learning for Audio-Visual Action Recognition
- Assessing the Limits of the Distributional Hypothesis in Semantic Spaces: Trait-based Relational Knowledge and the Impact of Co-occurrences
- Qualitative Differences Between Evolutionary Strategies and Reinforcement Learning Methods for Control of Autonomous Agents
- Fundamental Laws of Binary Classification
- Chemical transformer compression for accelerating both training and inference of molecular modeling
- An automatic pipeline for atlas-based fetal and neonatal brain segmentation and analysis
- Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine
- Autonomous Open-Ended Learning of Tasks with Non-Stationary Interdependencies
All 147
- Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data
- An Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection Competition
- Towards on-sky adaptive optics control using reinforcement learning
- A Neuro-Symbolic ASP Pipeline for Visual Question Answering
- SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
- The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues
- Decomposition Strategies and Multi-shot ASP Solving for Job-shop Scheduling
- Reachability Constrained Reinforcement Learning
- Quantitative Discourse Cohesion Analysis of Scientific Scholarly Texts using Multilayer Networks
- Wasserstein t-SNE
- A model aggregation approach for high-dimensional large-scale optimization
- A scalable deep learning approach for solving high-dimensional dynamic optimal transport
- Fair Shares: Feasibility, Domination and Incentives
- The use of deep learning in interventional radiotherapy (brachytherapy): a review with a focus on open source and open data
- Residual Local Feature Network for Efficient Super-Resolution
- KGRGRL: A User's Permission Reasoning Method Based on Knowledge Graph Reward Guidance Reinforcement Learning
- Efficient Knowledge Compilation Beyond Weighted Model Counting
- Multi-scale Attention Flow for Probabilistic Time Series Forecasting
- Robust Testing in High-Dimensional Sparse Models
- Learning-Based sensitivity analysis and feedback design for drug delivery of mixed therapy of cancer in the presence of high model uncertainties
- Topologically Persistent Features-based Object Recognition in Cluttered Indoor Environments
- Manifold Characteristics That Predict Downstream Task Performance
- Frequency selective extrapolation with residual filtering for image error concealment
- MixFlows: principled variational inference via mixed flows
- Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization
- Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
- q-Munchausen Reinforcement Learning
- Robust Representation via Dynamic Feature Aggregation
- Gradient Descent Optimizes Infinite-Depth ReLU Implicit Networks with Linear Widths
- Directed Acyclic Transformer for Non-Autoregressive Machine Translation
- Reasoning about Procedures with Natural Language Processing: A Tutorial
- Miutsu: NTU's TaskBot for the Alexa Prize
- A Deep Reinforcement Learning Blind AI in DareFightingICE
- Behaviour Explanation via Causal Analysis of Mental States: A Preliminary Report
- ReDFeat: Recoupling Detection and Description for Multimodal Feature Learning
- Binarizing by Classification: Is soft function really necessary?
- Optimizing the optimizer for data driven deep neural networks and physics informed neural networks
- On the Convergence of the Shapley Value in Parametric Bayesian Learning Games
- Exploring the Learning Difficulty of Data Theory and Measure
- Optimal Randomized Approximations for Matrix based Renyi's Entropy
- Trustworthy Graph Neural Networks: Aspects, Methods and Trends
- Transformers in 3D Point Clouds: A Survey
- TNN7: A Custom Macro Suite for Implementing Highly Optimized Designs of Neuromorphic TNNs
- Training neural networks using Metropolis Monte Carlo and an adaptive variant
- What GPT Knows About Who is Who
- A New Outlier Removal Strategy Based on Reliability of Correspondence Graph for Fast Point Cloud Registration
- PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection