Papers
Tue 10 Jan 2023
97 papers
- Speech Driven Video Editing via an Audio-Conditioned Diffusion ModelDiffusion models → Audio, speech and music
- Mastering Diverse Domains through World ModelsWorld models → Latent dynamics models and model-based RL
- Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic ModelsDiffusion models → Video generation
- Estimation of User's World Model Using Graph2vecWorld models → World models for language agents
- DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits AnimationDiffusion models → Audio, speech and music
- A Multi-Level Framework for the AI Alignment ProblemLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Deep Multi-stream Network for Video-based Calving Sign Detection
- Objective Evaluation-based High-efficiency Learning Framework for Hyperspectral Image Classification
- Real-Time Traffic End-of-Queue Detection and Tracking in UAV Video
- Analysis of Arrhythmia Classification on ECG Dataset
- Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement
- Unifying Consciousness and Time to Enhance Artificial Intelligence
- AI Insights into Theoretical Physics and the Swampland Program: A Journey Through the Cosmos with ChatGPT
- AI-Based Affective Music Generation Systems: A Review of Methods, and Challenges
- Interaction models for remaining useful life estimation
- Memory Augmented Large Language Models are Computationally Universal
- Dataset of Fluorescence Spectra and Chemical Parameters of Olive Oils
- InstaGraM: Instance-level Graph Modeling for Vectorized HD Map Learning
- FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection
- Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context
- Robust Human Identity Anonymization using Pose Estimation
- Adapting to Skew: Imputing Spatiotemporal Urban Data with 3D Partial Convolutions and Biased Masking
- User-Centered Security in Natural Language Processing
- Inferring Gene Regulatory Neural Networks for Bacterial Decision Making in Biofilms
- Pix2Map: Cross-modal Retrieval for Inferring Street Maps from Images
- Explaining Deep Models through Forgettable Learning Dynamics
- Leveraging Diffusion For Strong and High Quality Face Morphing Attacks
- An Efficient Drifters Deployment Strategy to Evaluate Water Current Velocity Fields
- Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models
- Deep Learning based Multi-Label Image Classification of Protest Activities
- A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization
- Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments
- schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments
- Pixelated Reconstruction of Foreground Density and Background Surface Brightness in Gravitational Lensing Systems using Recurrent Inference Machines
- Structured Case-based Reasoning for Inference-time Adaptation of Text-to-SQL parsers
- Neural Radiance Field Codebooks
- Investigating Conversational Search Behavior For Domain Exploration
- Optimal randomized multilevel Monte Carlo for repeatedly nested expectations
- On the Robustness of AlphaFold: A COVID-19 Case Study
- Benchmarking Robustness in Neural Radiance Fields
- Rethinking Voxelization and Classification for 3D Object Detection
- Imbalanced Classification In Faulty Turbine Data: New Proximal Policy Optimization
- Manifold Restricted Interventional Shapley Values
- ROBUSfT: Robust Real-Time Shape-from-Template, a C++ Library
- Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?
- Differentiable modeling to unify machine learning and physical models and advance Geosciences
- There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question Answering
- Proceedings of the NeurIPS 2021 Workshop on Machine Learning for the Developing World: Global Challenges
- Towards AI-controlled FES-restoration of arm movements: Controlling for progressive muscular fatigue with Gaussian state-space models
- Towards AI-controlled FES-restoration of arm movements: neuromechanics-based reinforcement learning for 3-D reaching
- Vision Transformers Are Good Mask Auto-Labelers
- Language Models sounds the Death Knell of Knowledge Graphs
- Semi-Supervised Learning with Pseudo-Negative Labels for Image Classification
- Unsupervised Mandarin-Cantonese Machine Translation
- AdvBiom: Adversarial Attacks on Biometric Matchers
- A Unified Theory of Diversity in Ensemble Learning
- AI based approach to Trailer Generation for Online Educational Courses
- Channel-aware Decoupling Network for Multi-turn Dialogue Comprehension
- Autonomous Strawberry Picking Robotic System (Robofruit)
- Hint assisted reinforcement learning: an application in radio astronomy
- Min-Max Optimization Made Simple: Approximating the Proximal Point Method via Contraction Maps
- Video Surveillance System Incorporating Expert Decision-making Process: A Case Study on Detecting Calving Signs in Cattle
- Learning with minimal effort: leveraging in silico labeling for cell and nucleus segmentation
- Measuring Board Game Distance
- RedMule: A Mixed-Precision Matrix-Matrix Operation Engine for Flexible and Energy-Efficient On-Chip Linear Algebra and TinyML Training Acceleration
- Actor-Director-Critic: A Novel Deep Reinforcement Learning Framework
- Sentiment-based Engagement Strategies for intuitive Human-Robot Interaction
- The use of new technologies to support Public Administration. Sentiment analysis and the case of the app IO
- Look Beyond Bias with Entropic Adversarial Data Augmentation
- A Privacy Preserving Method with a Random Orthogonal Matrix for ConvMixer Models
- Understanding the Complexity and Its Impact on Testing in ML-Enabled Systems
- Video Semantic Segmentation with Inter-Frame Feature Fusion and Inner-Frame Feature Refinement
- Dynamic Grained Encoder for Vision Transformers
- From Plate to Prevention: A Dietary Nutrient-aided Platform for Health Promotion in Singapore
- CDA: Contrastive-adversarial Domain Adaptation
- Streaming Punctuation: A Novel Punctuation Technique Leveraging Bidirectional Context for Continuous Speech Recognition
- Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network
- UnifySpeech: A Unified Framework for Zero-shot Text-to-Speech and Voice Conversion
- Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
- Enhancing Evaluation Methods for Infrared Small-Target Detection in Real-world Scenarios
- Fair Recommendation by Geometric Interpretation and Analysis of Matrix Factorization
- Best Arm Identification in Stochastic Bandits: Beyond β-optimality
- Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation
- How Data Scientists Review the Scholarly Literature
- Chatbots in a Honeypot World
- Learning from What is Already Out There: Few-shot Sign Language Recognition with Online Dictionaries
- Metric Compatible Training for Online Backfilling in Large-Scale Retrieval
- Optimal Power Flow Based on Physical-Model-Integrated Neural Network with Worth-Learning Data Generation
- Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding
- Tensor Denoising via Amplification and Stable Rank Methods
- Sequential Fair Resource Allocation under a Markov Decision Process Framework
- Markovian Sliced Wasserstein Distances: Beyond Independent Projections
- Semiparametric Regression for Spatial Data via Deep Learning
- Learning to Perceive in Deep Model-Free Reinforcement Learning
- Evaluating the Transferability of Machine-Learned Force Fields for Material Property Modeling
- Scaling Laws for Generative Mixed-Modal Language Models
- Neighborhood-Regularized Self-Training for Learning with Few Labels