Papers
Sun 7 Jul 2024
128 papers
- Replication in Visual Diffusion Models: A Survey and OutlookDiffusion models → Diffusion foundations and sampling
- Discounted Pseudocosts in MILPDeep reinforcement learning methods → RL theory and sample complexity
- How Effective are State Space Models for Machine Translation?State-space sequence models (S4, Mamba) → Core SSM architectures for language
- Just read twice: closing the recall gap for recurrent language modelsState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Enhancing Hallucination Detection through Perturbation-Based Synthetic Data Generation in System ResponsesSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
- LTLBench: Towards Benchmarks for Evaluating Temporal Reasoning in Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- BiRoDiff: Diffusion policies for bipedal robot locomotion on unseen terrainsDiffusion models → Diffusion and flow policies for robotics
- Multimodal Language Models for Domain-Specific Procedural Video SummarizationMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Assessing Code Generation with Intermediate LanguagesLLM reasoning → Reasoning for agents, planning and code
- IL-TUR: Benchmark for Indian Legal Text Understanding and ReasoningLLM reasoning → Reasoning for agents, planning and code
- Image-Conditional Diffusion Transformer for Underwater Image EnhancementDiffusion models → Inverse problems and image restoration
- VideoCoT: A Video Chain-of-Thought Dataset with Active Annotation ToolLLM reasoning → Multimodal reasoning +1
- Exploring Phrase-Level Grounding with Text-to-Image Diffusion ModelDiffusion models → Medical imaging and segmentation
- Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Leveraging Topological Guidance for Improved Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- Topological Persistence Guided Knowledge Distillation for Wearable Sensor DataKnowledge distillation → Distillation for medical imaging
- An Improved Method for Personalizing Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- MINDECHO: Role-Playing Language Agents for Key Opinion LeadersLLM agents and tool use → Social simulation and multi-agent debate
- Mamba Hawkes ProcessState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work TasksLLM reasoning → Reasoning for agents, planning and code
- DM-MIMO: Diffusion Models for Robust Semantic Communications over MIMO ChannelsDiffusion models → Diffusion for compression and wireless
- Multi-scale Conditional Generative Modeling for Microscopic Image RestorationDiffusion models → Inverse problems and image restoration
- Quantum Dynamics of Machine Learning
- Survey on biomarkers in human vocalizations
- Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
- Morse Code-Enabled Speech Recognition for Individuals with Visual and Hearing Impairments
- A Review of AI and Machine Learning Contribution in Predictive Business Process Management (Process Enhancement and Process Improvement Approaches)
- Detecting new obfuscated malware variants: A lightweight and interpretable machine learning approach
- Auditing of AI: Legal, Ethical and Technical Approaches
- The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: What can they learn from each other?
- AI and Social Theory
- Predicting Word Similarity in Context with Referential Translation Machines
- Accelerating MRI Uncertainty Estimation with Mask-based Bayesian Neural Network
- A Theory of Machine Learning
- Addressing single object tracking in satellite imagery through prompt-engineered solutions
- Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation
- Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization
- SCATTER: Algorithm-Circuit Co-Sparse Photonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution
- Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation
- Faux Polyglot: A Study on Information Disparity in Multilingual Large Language Models
- Prospective Messaging: Learning in Networks with Communication Delays
- Multi-level Reliability Interface for Semantic Communications over Wireless Networks
- Learning to Price Homogeneous Data
- Biomedical Nested NER with Large Language Model and UMLS Heuristics
- Smart Camera Parking System With Auto Parking Spot Detection
- The infrastructure powering IBM's Gen AI model development
- Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality
- Experiments with truth using Machine Learning: Spectral analysis and explainable classification of synthetic, false, and genuine information
- Training Task Experts through Retrieval Based Distillation
- CAV-AD: A Robust Framework for Detection of Anomalous Data and Malicious Sensors in CAV Networks
- A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions
- Semantic Segmentation for Real-World and Synthetic Vehicle's Forward-Facing Camera Images
- SmurfCat at PAN 2024 TextDetox: Alignment of Multilingual Transformers for Text Detoxification
- Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness
- Language Representations Can be What Recommenders Need: Findings and Potentials
- Explainable AI: Comparative Analysis of Normal and Dilated ResNet Models for Fundus Disease Classification
- Enhancing Computer Programming Education with LLMs: A Study on Effective Prompt Engineering for Python Code Generation
- Diffusion as Sound Propagation: Physics-inspired Model for Ultrasound Image Generation
- EMBANet: A Flexible Efffcient Multi-branch Attention Network
- See Further for Parameter Efficient Fine-tuning by Standing on the Shoulders of Decomposition
- Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
- DIVESPOT: Depth Integrated Volume Estimation of Pile of Things Based on Point Cloud
- SBoRA: Low-Rank Adaptation with Regional Weight Updates
- FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
- Synthetic Test Data Generation Using Recurrent Neural Networks: A Position Paper
- CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens
- iSign: A Benchmark for Indian Sign Language Processing
- A Fair Post-Processing Method based on the MADD Metric for Predictive Student Models
- Evolutionary Trigger Detection and Lightweight Model Repair Based Backdoor Defense
- Forest2Seq: Revitalizing Order Prior for Sequential Indoor Scene Synthesis
- Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis
- Learning Motion Blur Robust Vision Transformers for Real-Time UAV Tracking
- Rethinking Unsupervised Outlier Detection via Multiple Thresholding
- AiGAS-dEVL: An Adaptive Incremental Neural Gas Model for Drifting Data Streams under Extreme Verification Latency
- Collective Innovation in Groups of Large Language Models
- Online Drift Detection with Maximum Concept Discrepancy
- Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion Recognition
- Imbalanced Semi-Supervised Learning via Label Refinement and Threshold Adjustment
- Music Era Recognition Using Supervised Contrastive Learning and Artist Information
- ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models
- PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
- Multi-branch Collaborative Learning Network for 3D Visual Grounding
- Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation
- CPM: Class-conditional Prompting Machine for Audio-visual Segmentation
- On the power of data augmentation for head pose estimation
- The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems
- Interpreting the Residual Stream of ResNet18
- Challenges and Best Practices in Corporate AI Governance:Lessons from the Biopharmaceutical Industry
- A Blueprint for Auditing Generative AI
- Artificial intelligence, rationalization, and the limits of control in the public sector: the case of tax policy optimization
- Generating multi-scale NMC particles with radial grain architectures using spatial stochastics and GANs
- Fast Proxy Experiment Design for Causal Effect Identification
- Can Model Uncertainty Function as a Proxy for Multiple-Choice Question Item Difficulty?
- PICA: Physics-Integrated Clothed Avatar
- KAE: A Property-based Method for Knowledge Graph Alignment and Extension
- Rethinking Targeted Adversarial Attacks For Neural Machine Translation
- MMAD: Multi-label Micro-Action Detection in Videos
- Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
- Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to K-Level Stochastic Optimizations
All 128
- Mjolnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion
- SCIPaD: Incorporating Spatial Clues into Unsupervised Pose-Depth Joint Learning
- UltraEdit: Instruction-based Fine-Grained Image Editing at Scale
- A Hybrid Registration and Fusion Method for Hyperspectral Super-resolution
- HyperKAN: Kolmogorov-Arnold Networks make Hyperspectral Image Classificators Smarter
- Beyond Binary Gender Labels: Revealing Gender Biases in LLMs through Gender-Neutral Name Predictions
- Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients
- DTR: A Unified Deep Tensor Representation Framework for Multimedia Data Recovery
- CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs
- FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data through Learning Rate Enhancements for Autonomous Embedded Systems
- Disciplined Geodesically Convex Programming
- OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks
- Unlocking Textual and Visual Wisdom: Open-Vocabulary 3D Object Detection Enhanced by Comprehensive Guidance from Text and Image
- Estimation of the Area and Precipitation Associated with a Tropical Cyclone Biparjoy by using Image Processing
- GaussReg: Fast 3D Registration with Gaussian Splatting
- CLIMB: A Benchmark of Clinical Bias in Large Language Models
- Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation
- Deep Online Probability Aggregation Clustering
- Some Issues in Predictive Ethics Modeling: An Annotated Contrast Set of "Moral Stories"
- P2P: Part-to-Part Motion Cues Guide a Strong Tracking Framework for LiDAR Point Clouds
- Privacy of the last iterate in cyclically-sampled DP-SGD on nonconvex composite losses
- Tracking Reflected Objects: A Benchmark
- Advancing Prompt Recovery in NLP: A Deep Dive into the Integration of Gemma-2b-it and Phi2 Models
- PAPM: A Physics-aware Proxy Model for Process Systems
- HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
- On the importance of learning non-local dynamics for stable data-driven climate modeling: A 1D gravity wave-QBO testbed
- Flood of Techniques and Drought of Theories: Emotion Mining in Disasters
- Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course