Papers
Sat 24 Jun 2023
106 papers
- Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score MatchingOffline RL and imitation learning from data → Offline RL algorithms
- Full Automation of Goal-driven LLM Dialog Threads with And-Or Recursors and Refiner OraclesLLM reasoning → Reasoning benchmarks and evaluation
- Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate TargetsOffline RL and imitation learning from data → Decision transformers and sequence modeling
- SEEDS: Emulation of Weather Forecast Ensembles with Diffusion ModelsDiffusion models → Flow matching, time series and science
- Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected DataOffline RL and imitation learning from data → Offline RL algorithms
- Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-StepLLM reasoning → Prompting and chain-of-thought reasoning +1
- H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language ModelsEfficient LLM inference and serving → KV cache optimization
- Machine Learning needs Better Randomness Standards: Randomised Smoothing and PRNG-based attacksLLM safety and security → Backdoor and data poisoning attacks
- Thinking Like an Annotator: Generation of Dataset Labeling InstructionsLLM reasoning → Multimodal reasoning
- Measuring Sociality in Driving InteractionEnd-to-end autonomous driving → Cooperative and V2X driving
- Math Word Problem Solving by Generating Linguistic Variants of Problem StatementsLLM reasoning → Mathematical reasoning
- Score-based Generative Models for Photoacoustic Image Reconstruction with Rotation Consistency ConstraintsDiffusion models → Medical imaging and segmentation
- Community-Aware Transformer for Autism Prediction in fMRI Connectome
- Utilizing Segment Anything Model For Assessing Localization of GRAD-CAM in Medical Imaging
- Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI
- Intensity-free Convolutional Temporal Point Process: Incorporating Local and Global Event Contexts
- Efficient Annotation of Medieval Charters
- SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning
- UAlberta at SemEval-2023 Task 1: Context Augmentation and Translation for Multilingual Visual Word Sense Disambiguation
- Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices
- On the Uses of Large Language Models to Interpret Ambiguous Cyberattack Descriptions
- DesCo: Learning Object Recognition with Rich Language Descriptions
- Creating Realistic Anterior Segment Optical Coherence Tomography Images using Generative Adversarial Networks
- Stable Yaw Estimation of Boats from the Viewpoint of UAVs and USVs
- Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism
- Towards Understanding Gradient Approximation in Equality Constrained Deep Declarative Networks
- A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
- Decision-Dependent Distributionally Robust Markov Decision Process Method in Dynamic Epidemic Control
- Towards Optimal Pricing of Demand Response -- A Nonparametric Constrained Policy Optimization Approach
- Smoothed f-Divergence Distributionally Robust Optimization
- Weighted Automata Extraction and Explanation of Recurrent Neural Networks for Natural Language Tasks
- Semantic Segmentation of Porosity in 4D Spatio-Temporal X-ray μ CT of Titanium Coated Ni wires using Deep Learning
- Partitioning-Guided K-Means: Extreme Empty Cluster Resolution for Extreme Model Compression
- My Boli: Code-mixed Marathi-English Corpora, Pretrained Language Models and Evaluation Benchmarks
- (Security) Assertions by Large Language Models
- Information criteria for structured parameter selection in high dimensional tree and graph models
- Individualized Dosing Dynamics via Neural Eigen Decomposition
- Interpreting Forecasted Vital Signs Using N-BEATS in Sepsis Patients
- Private Networked Federated Learning for Nonsmooth Objectives
- Learned Mappings for Targeted Free Energy Perturbation between Peptide Conformations
- Boosting Multitask Learning on Graphs through Higher-Order Task Affinities
- Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers
- A clustering and graph deep learning-based framework for COVID-19 drug repurposing
- Kernel Support Vector Machine Classifiers with the ℓ0-Norm Hinge Loss
- Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation
- SAM++: Enhancing Anatomic Matching using Semantic Information and Structural Inference
- Large Language Models as Sous Chefs: Revising Recipes with GPT-3
- Robust Classification of High-Dimensional Data using Data-Adaptive Energy Distance
- Mobile-Cloud Inference for Collaborative Intelligence
- Regularized Multivariate Functional Principal Component Analysis
- Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations
- Fusing Multimodal Signals on Hyper-complex Space for Extreme Abstractive Text Summarization (TL;DR) of Scientific Contents
- Boosting Model Inversion Attacks with Adversarial Examples
- Categorical Approach to Conflict Resolution:A Corrected Correspondence between Category Theory and the Graph Model for Conflict Resolution
- Regular SE(3) Group Convolutions for Volumetric Medical Image Analysis
- Emotion Flip Reasoning in Multiparty Conversations
- DiffDTM: A conditional structure-free framework for bioactive molecules generation targeted for dual proteins
- Pointwise-in-Time Explanation for Linear Temporal Logic Rules
- Characterizing the Emotion Carriers of COVID-19 Misinformation and Their Impact on Vaccination Outcomes in India and the United States
- Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset
- Comparison of Pre-trained Language Models for Turkish Address Parsing
- Large Sequence Models for Sequential Decision-Making: A Survey
- Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery
- Are Good Explainers Secretly Human-in-the-Loop Active Learners?
- Boost Video Frame Interpolation via Motion Adaptation
- Tuning structure learning algorithms with out-of-sample and resampling strategies
- Comparative Study of Predicting Stock Index Using Deep Learning Models
- Evaluating the Utility of GAN Generated Synthetic Tabular Data for Class Balancing and Low Resource Settings
- On Convex Data-Driven Inverse Optimal Control for Nonlinear, Non-stationary and Stochastic Systems
- Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons
- Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
- Active Data Acquisition in Autonomous Driving Simulation
- Unsupervised Mapping of Arguments of Deverbal Nouns to Their Corresponding Verbal Labels
- Multi-task multi-station earthquake monitoring: An all-in-one seismic Phase picking, Location, and Association Network (PLAN)
- G-TRACER: Expected Sharpness Optimization
- Deep learning-based deconvolution for interferometric radio transient reconstruction
- ClothFit: Cloth-Human-Attribute Guided Virtual Try-On Network Using 3D Simulated Dataset
- Person Recognition using Facial Micro-Expressions with Deep Learning
- Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise?
- Spatio-temporal Storytelling? Leveraging Generative Models for Semantic Trajectory Analysis
- ICN: Interactive Convolutional Network for Forecasting Travel Demand of Shared Micromobility
- Open-Set RF Fingerprinting via Improved Prototype Learning
- Radio Generation Using Generative Adversarial Networks with An Unrolled Design
- Generalizing Differentially Private Decentralized Deep Learning with Multi-Agent Consensus
- Estimating the Causal Effect of Early ArXiving on Paper Acceptance
- L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models
- Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem
- Current density impedance imaging with PINNs
- Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query
- Real-World Video for Zoom Enhancement based on Spatio-Temporal Coupling
- Learning from Pixels with Expert Observations
- Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
- MIRACLE: Multi-task Learning based Interpretable Regulation of Autoimmune Diseases through Common Latent Epigenetics
- IERL: Interpretable Ensemble Representation Learning -- Combining CrowdSourced Knowledge and Distributed Semantic Representations
- Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification
- Similarity Preserving Adversarial Graph Contrastive Learning
- A Unified Approach to Controlling Implicit Regularization via Mirror Descent
- Is Pre-training Truly Better Than Meta-Learning?
- Beyond Scale: The Diversity Coefficient as a Data Quality Metric for Variability in Natural Language Data
- DEKGCI: A double-sided recommendation model for integrating knowledge graph and user-item interaction graph
All 106
- Computron: Serving Distributed Deep Learning Models with Model Parallel Swapping
- Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks
- Improved Aircraft Environmental Impact Segmentation via Metric Learning
- Selective inference using randomized group lasso estimators for general models
- Generalised f-Mean Aggregation for Graph Neural Networks
- Adaptive Privacy Composition for Accuracy-first Mechanisms