baseline methods
Baseline methods serve as reference points in experimental settings and are used to measure the performance of new models or algorithms. Typically, these are simple or previously established approaches that allow researchers to evaluate improvements provided by more complex models.
- Accelerating Visual-Policy Learning through Parallel Differentiable Simulation
- Activation-Guided Consensus Merging for Large Language Models
- Active Test-time Vision-Language Navigation
- AdaptGrad: Adaptive Sampling to Reduce Noise
- An Effective Levelling Paradigm for Unlabeled Scenarios
- BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models
- Combinatorial Ski Rental Problem: Robust and Learning-Augmented Algorithms
- Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning
- Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix
- Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
- General-Reasoner: Advancing LLM Reasoning Across All Domains
- InFlux: A Benchmark for Self-Calibration of Dynamic Intrinsics of Video Cameras
- Know What You Don't Know: Uncertainty Calibration of Process Reward Models
- Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
- MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling
- Multi-Objective One-Shot Pruning for Large Language Models
- Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis
- Partial Physics Informed Diffusion Model for Ocean Chlorophyll Concentration Reconstruction
- Reframing Gaussian Splatting Densification with Complexity-Density Consistency of Primitives
- Relieving the Over-Aggregating Effect in Graph Transformers
- Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing
- Time Reversal Symmetry for Efficient Robotic Manipulations in Deep Reinforcement Learning
- TransferBench: Benchmarking Ensemble-based Black-box Transfer Attacks
- URB - Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles