Papers
Sun 31 Dec 2023
96 papers
- TrailBlazer: Trajectory Control for Diffusion-Based Video GenerationDiffusion models → Video generation
- Fairness in Serving Large Language ModelsEfficient LLM inference and serving → Serving systems and request scheduling
- Neural Networks Against (and For) Self-Training: Classification with Small Labeled and Large Unlabeled SetsSynthetic data and self-improvement for LLMs → Self-training for few-shot NLP
- Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from DemonstrationOffline RL and imitation learning from data → Robot learning from demonstration
- Compressing Deep Image Super-resolution ModelsKnowledge distillation → General knowledge distillation methods
- Diff-PCR: Diffusion-Based Correspondence Searching in Doubly Stochastic Matrix Space for Point Cloud RegistrationDiffusion models → 3D, point cloud and scene generation
- keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLMLLM reasoning → Knowledge- and tool-augmented reasoning
- RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsRetrieval-augmented generation → Hallucination detection in RAG
- SAFE-SIM: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable AdversariesDiffusion models → Diffusion and flow policies for robotics
- Mathematical Explanations
- RTHDet: Rotate Table Area and Head Detection in images
- AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles
- Application of Machine Learning in Stock Market Forecasting: A Case Study of Disney Stock
- Generation Z's Ability to Discriminate Between AI-generated and Human-Authored Text on Discord
- Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer
- Are we describing the same sound? An analysis of word embedding spaces of expressive piano performance
- Learning from a Generative AI Predecessor -- The Many Motivations for Interacting with Conversational Agents
- Does Few-shot Learning Suffer from Backdoor Attacks?
- WoodScape Motion Segmentation for Autonomous Driving -- CVPR 2023 OmniCV Workshop Challenge
- Taming Mode Collapse in Score Distillation for Text-to-3D Generation
- DocLLM: A layout-aware generative language model for multimodal document understanding
- LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Models
- Evaluating the Fairness of the MIMIC-IV Dataset and a Baseline Algorithm: Application to the ICU Length of Stay Prediction
- Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding
- Detecting the presence of sperm whales echolocation clicks in noisy environments
- Masked Modeling for Self-supervised Representation Learning on Vision and Beyond
- Balanced Multi-modal Federated Learning via Cross-Modal Infiltration
- Social-LLM: Modeling User Behavior at Scale using Language Models and Social Network Data
- A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry
- A Survey of Personality, Persona, and Profile in Conversational Agents and Chatbots
- Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs
- SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity
- Sub-sampling of NMR Correlation and Exchange Experiments
- State of What Art? A Call for Multi-Prompt LLM Evaluation
- Simplicity bias, algorithmic probability, and the random logistic map
- Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction
- Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners
- An Analysis of Embedding Layers and Similarity Scores using Siamese Neural Networks
- Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing
- KernelGPT: Enhanced Kernel Fuzzing via Large Language Models
- A Generalist FaceX via Learning Unified Facial Representation
- On Learning for Ambiguous Chance Constrained Problems
- AllSpark: A Multimodal Spatio-Temporal General Intelligence Model with Ten Modalities via Language as a Reference Framework
- A Reliable Knowledge Processing Framework for Combustion Science using Foundation Models
- A Multi-Task, Multi-Modal Approach for Predicting Categorical and Dimensional Emotions
- Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approach
- On the Necessity of Metalearning: Learning Suitable Parameterizations for Learning Processes
- GraphGPT: Generative Pre-trained Graph Eulerian Transformer
- Pack and Measure: An Effective Approach for Influence Propagation in Social Networks
- Multi-spatial Multi-temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data
- HSC-GPT: A Large Language Model for Human Settlements Construction
- Viz: A QLoRA-based Copyright Marketplace for Legally Compliant Generative AI
- Generating High-Precision Force Fields for Molecular Dynamics Simulations to Study Chemical Reaction Mechanisms using Molecular Configuration Transformer
- SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge
- Kernel Density Estimation for Multiclass Quantification
- Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches
- Online Symbolic Music Alignment with Offline Reinforcement Learning
- Analyzing Local Representations of Self-supervised Vision Transformers
- RainSD: Rain Style Diversification Module for Image Synthesis Enhancement using Feature-Level Style Distribution
- Double-well Net for Image Segmentation
- Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
- Energy-Efficient Power Control for Multiple-Task Split Inference in UAVs: A Tiny Learning-Based Approach
- Data-driven Energy Efficiency Modelling in Large-scale Networks: An Expert Knowledge and ML-based Approach
- A Comprehensive Overview of Fish-Eye Camera Distortion Correction Methods
- TSGAN: An Optical-to-SAR Dual Conditional GAN for Optical based SAR Temporal Shifting
- SFGANS Self-supervised Future Generator for human ActioN Segmentation
- BatchEval: Towards Human-like Text Evaluation
- Bidirectional Trained Tree-Structured Decoder for Handwritten Mathematical Expression Recognition
- GeoGalactica: A Scientific Large Language Model in Geoscience
- Wild2Avatar: Rendering Humans Behind Occlusions
- Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy
- Training toward significance with the decorrelated event classifier transformer neural network
- SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation for Multi-modal Intent Detection
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting
- Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect
- From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion
- SynCDR : Training Cross Domain Retrieval Models with Synthetic Data
- SVFAP: Self-supervised Video Facial Affect Perceiver
- Is It Possible to Backdoor Face Forgery Detection with Natural Triggers?
- Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training
- A Two-stream Hybrid CNN-Transformer Network for Skeleton-based Human Interaction Recognition
- Low-cost Geometry-based Eye Gaze Detection using Facial Landmarks Generated through Deep Learning
- Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen Objects
- Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection
- Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Rail Defect Detection
- Horizontal Federated Computer Vision
- FusionMind -- Improving question and answering with external context fusion
- Predicting Evoked Emotions in Conversations
- DREAM: Debugging and Repairing AutoML Pipelines
- EMAGE: Towards Unified Holistic Co-Speech Gesture Generation via Expressive Masked Audio Gesture Modeling
- Multi-Granularity Representation Learning for Sketch-based Dynamic Face Image Retrieval
- UGPNet: Universal Generative Prior for Image Restoration
- Improving Text Embeddings with Large Language Models
- Argumentation in Waltz's "Emerging Structure of International Politics''
- HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes
- Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise