Deep Learning

ImpRIF: Stronger Implicit Reasoning Leads to Better Complex Instruction Following ACL 2026 Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural Networks AAAI 2026 Improved Masked Image Generation with Knowledge-Augmented Token Representations AAAI 2026 Improved Mean Flows: On the Challenges of Fastforward Generative Models CVPR 2026 Improved Wildfire Spread Prediction with Time-Series Data and the WSTS+ Benchmark WACV 2026 Improve Molecular Conformation Modeling with Geometric Deep Learning AAAI 2026 Improving Animal Pose Estimation through Species Similarity Measures and Rigorous Label Definition WACV 2026 Improving Autoformalization Using Direct Dependency Retrieval ACL 2026 Improving Batch Normalization with Test-Time Adaptation for Robust Object Detection in Self-Driving AAAI 2026 Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt Pretraining CVPR 2026 Improving Controllable Generation: Faster Training and Better Performance via x0-Supervision CVPR 2026 Improving Day-Ahead Grid Carbon Intensity Forecasting by Joint Modeling of Local-Temporal and Cross-Variable Dependencies Across Different Frequencies AAAI 2026 Improving Diffusion Generalization with Weak-to-Strong Segmented Guidance CVPR 2026 Improving Hate Speech Detection by Fusing Textual and User Interaction Representations in Online Communities ACL 2026 Improving Long-Context Translation via Self-Supervised Dual Learning ACL 2026 Improving Motion in Image-to-Video Models via Adaptive Low-Pass Guidance CVPR 2026 Improving Sparse Autoencoder with Dynamic Attention CVPR 2026 Improving Sparse IMU-based Motion Capture with Motion Label Smoothing AAAI 2026 Improving TabPFN’s Synthetic Data Generation by Integrating Causal Structure UAI 2026 Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards CVPR 2026 Improving the Convergence of Private Shuffled Gradient Methods with Public Data UAI 2026 ImReasoner: Improving Memory-based Language Models for Reasoning-in-a-Haystack Tasks ACL 2026 IMRNNs: An Efficient Method for Interpretable Dense Retrieval via Embedding Modulation EACL 2026 IMS3: Breaking Distributional Aggregation in Diffusion-Based Dataset Distillation CVPR 2026 Incentivizing DINOv3 Adaptation for Medical Vision Tasks via Feature Disentanglement MIDL 2026